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Choosing a start address should be planned in advance. Used to transfer programmed data between 2 controllers. User Manual image capture to output. The Flextight scanners also include a full selection of hold-. Your name. On the contrary, the set of camera positions is required for further 3D model construction by PhotoScan. The next stage is building dense point cloud. Based on the estimated camera positions and pictures themselves a dense point cloud is built by PhotoScan.
Dense point cloud may be edited and classified prior to export or proceeding to 3D mesh model generation. Another stage is building mesh. PhotoScan reconstructs a 3D polygonal mesh representing the object surface based on the dense point cloud. Additionally there is a Point Cloud based method for fast geometry generation based on the sparse point cloud alone.
Generally there are two algorithmic methods available in PhotoScan that can be applied to 3D mesh generation: Height Field - for planar type surfaces, Arbitrary - for any kind of object. Having built the mesh, it may be necessary to edit it. Some corrections, such as mesh decimation, removal of detached components, closing of holes in the mesh, etc. For more complex editing you have to engage external 3D editor tools. PhotoScan allows to export mesh, edit it by another software and import it back.
After geometry i. Several texturing modes are available in PhotoScan, they are described in the corresponding section of this manual. Basically, the sequence of actions described above covers most of the data processing needs. All these operations are carried out automatically according to the parameters set by user. Instructions on how to get through these operations and descriptions of the parameters controlling each step are explained in the corresponding sections of the Chapter 3, General workflow.
In some cases, however, additional actions may be required to get the desired results. In some capturing scenarios masking of certain regions of the photos may be required to exclude them from the calculations.
Application of masks in PhotoScan processing workflow as well as editing options available are. Camera calibration issues are discussed in Chapter 4, Referencing and measurements , that also describes functionality to reference the results and carry out measurements on the model. While Chapter 6, Automation describes opportunities to save up on manual intervention to the processing workflow, Chapter 7, Network processing presents guidelines on how to organize distributed processing of the imagery data on several nodes.
It can take up quite a long time to reconstruct a 3D model. PhotoScan allows to export obtained results and save intermediate data in a form of project files at any stage of the process.
If you are not familiar with the concept of projects, its brief description is given at the end of the Chapter 3, General workflow. In the manual you can also find instructions on the PhotoScan installation procedure and basic rules for taking "good" photographs, i. For the information refer to Chapter 2, Capturing photos and Chapter 1, Installation.
The number of photos that can be processed by PhotoScan depends on the available RAM and reconstruction parameters used. PhotoScan supports accelerated depth maps reconstruction due to the graphics hardware GPU exploiting. PhotoScan is likely to be able to utilize processing power of any OpenCL enabled device during Dense Point Cloud generation stage, provided that OpenCL drivers for the device are properly installed.
However, because of the large number of various combinations of video chips, driver versions and operating systems, Agisoft is unable to test and guarantee PhotoScan's compatibility with every device and on every platform. The table below lists currently supported devices on Windows platform only.
We will pay particular attention to possible problems with PhotoScan running on these devices. Although PhotoScan is supposed to be able to utilize other GPU models and being run under a different operating system, Agisoft does not guarantee that it will work correctly.
To install PhotoScan on Microsoft Windows simply run the downloaded msi file and follow the instructions. Open the downloaded dmg image and drag PhotoScan application to the desired location on your hard drive.
Unpack the downloaded archive with a program distribution kit to the desired location on your hard drive. Start PhotoScan by running photoscan. Once PhotoScan is downloaded and installed on your computer you can run it either in the Demo mode or in the full function mode. On every start until you enter a serial number it will show a registration box offering two options: 1 use PhotoScan in the Demo mode or 2 enter a serial number to confirm the purchase.
The first choice is set by default, so if you are still exploring PhotoScan click the Continue button and PhotoScan will start in the Demo mode. The employment of PhotoScan in the Demo mode is not time limited. Several functions, however, are not available in the Demo mode.
These functions are the following:. To use PhotoScan in the full function mode you have to purchase it. On purchasing you will get the serial number to enter into the registration box on starting PhotoScan. Once the serial number is entered the registration box will not appear again and you will get full access to all functions of the program.
Before loading your photographs into PhotoScan you need to take them and select those suitable for 3D model reconstruction. Photographs can be taken by any digital camera both metric and non-metric , as long as you follow some specific capturing guidelines. This section explains general principles of taking and selecting pictures that provide the most appropriate data for 3D model generation. Make sure you have studied the following rules and read the list of restrictions before you get out for shooting photographs.
The best choice is 50 mm focal length 35 mm film equivalent lenses. It is recommended to use focal length from 20 to 80 mm interval in 35mm equivalent. If a data set was captured with fish-eye lens, appropriate camera sensor type should be selected in PhotoScan Camera Calibration settings prior to processing. If zoom lenses are used - focal length should be set either to maximal or to minimal value during the entire shooting session for more stable results.
So do not crop or geometrically transform, i. Generally, spending some time planning your shot session might be very useful.
In some cases portrait camera orientation should be used. It is recommended to remove sources of light from camera fields of view. Avoid using flash.
Alternatively, you could place a ruler within the shooting area. In some cases it might be very difficult or even impossible to build a correct 3D model from a set of pictures. A short list of typical reasons for photographs unsuitability is given below. PhotoScan can process only unmodified photos as they were taken by a digital photo camera.
Processing the photos which were manually cropped or geometrically warped is likely to fail or to produce highly inaccurate results. Photometric modifications do not affect reconstruction results. In this case PhotoScan assumes that focal length in 35 mm equivalent equals to 50 mm and tries to align the photos in accordance with this assumption. If the correct focal length value differs significantly from 50 mm, the alignment can give incorrect results or even fail.
In such cases it is required to specify initial camera calibration manually. The details of necessary EXIF tags and instructions for manual setting of the calibration parameters are given in the Camera calibration section.
The distortion of the lenses being used to capture the photos should be well simulated with the Brown's distortion model. Otherwise it is most unlikely that processing results will be accurate.
Fisheye and ultra-wide angle lenses are poorly modeled by the common distortion model implemented in PhotoScan software, so it is required to choose proper camera type in Camera Calibration dialog prior to processing.
If you are using PhotoScan in the full function not the Demo mode, intermediate results of the image processing can be saved at any stage in the form of project files and can be used later. The concept of projects and project files is briefly explained in the Saving intermediate results section. The list above represents all the necessary steps involved in the construction of a textured 3D model from your photos. Some additional tools, which you may find to be useful, are described in the successive chapters.
Before starting a project with PhotoScan it is recommended to adjust the program settings for your needs. In Preferences dialog General Tab available through the Tools menu you can indicate the path to the PhotoScan log file to be shared with the Agisoft support team in case you face any problems during the processing. Here you can also change GUI language to the one that is most convenient for you.
PhotoScan exploits GPU processing power that speeds up the process significantly. If you have decided to switch on GPUs for photogrammetric data processing with PhotoScan, it is recommended to free one physical CPU core per each active GPU for overall control and resource managing tasks. Before starting any operation it is necessary to point out what photos will be used as a source for 3D reconstruction. In fact, photographs themselves are not loaded into PhotoScan until they are needed.
So, when you "load photos" you only indicate photographs that will be used for further processing. Select Add Photos In the Add Photos dialog box browse to the folder containing the images and select files to be processed.
Then click Open button. Photos in any other format will not be shown in the Add Photos dialog box. To work with such photos you will need to convert them in one of the supported formats. Right-click on the selected photos and choose Remove Items command from the opened context menu, or click Remove Items toolbar button on the Workspace pane.
The selected photos will be removed from the working set. If all the photos or a subset of photos were captured from one camera position - camera station, for PhotoScan to process them correctly it is obligatory to move those photos to a camera group and mark the group as Camera Station.
It is important that for all the photos in a Camera Station group distances between camera centers were negligibly small compared to the camera-object minimal distance. However, it is possible to export panoramic picture for the data captured from only one camera station. Refer to Exporting results section for guidance on panorama export.
Right-click on the selected photos and choose Move Cameras - New Camera Group command from the opened context menu. A new group will be added to the active chunk structure and selected photos will be moved to that group. To mark group as camera station right click on the camera group name and select Set Group Type command from the context menu. Loaded photos are displayed on the Workspace pane along with flags reflecting their status. The following flags can appear next to the photo name:.
Notifies that the EXIF data available is not sufficient to estimate the camera focal length. In this case PhotoScan assumes that the corresponding photo was taken using 50mm lens 35mm film equivalent.
If the actual focal length differs significantly from this value, manual calibration may be required. More details on manual camera calibration can be found in the Camera calibration section. Notifies that external camera orientation parameters were not estimated for the current photo yet. Images loaded to PhotoScan will not be aligned until you perform the next step - photos alignment. The main processing stages for multispectral images are performed based on the master channel, which can be selected by the user.
During orthophoto export, all spectral bands are processed together to form a multispectral orthophoto with the same bands as in source images. The overall procedure for multispectral imagery processing does not differ from the usual procedure for normal photos, except the additional master channel selection step performed after adding images to the project. For the best results it is recommended to select the spectral band which is sharp and as much detailed as possible.
Add multispectral images to the project using Add Photos Select Set Master Channel You can either indicate only one channel to be used as the basis for photogrammetric processing or leave the parameter value as Default for all three channels to be used in processing.
When exporting in other formats, only master channel will be saved. Once photos are loaded into PhotoScan, they need to be aligned. At this stage PhotoScan finds the camera position and orientation for each photo and builds a sparse point cloud model. In the Align Photos dialog box select the desired alignment options. Click OK button when done. The progress dialog box will appear displaying the current processing status. To cancel processing. Alignment having been completed, computed camera positions and a sparse point cloud will be displayed.
You can inspect alignment results and remove incorrectly positioned photos, if any. To see the matches between any two photos use View Matches Incorrectly positioned photos can be realigned. Reset alignment for incorrectly positioned cameras using Reset Camera Alignment command from the photo context menu.
Set markers at least 4 per photo on these photos and indicate their projections on at least two photos from the already aligned subset. PhotoScan will consider these points to be true matches. For information on markers placement refer to the Setting coordinate system section.
Select photos to be realigned and use Align Selected Cameras command from the photo context menu. When the alignment step is completed, the point cloud and estimated camera positions can be exported for processing with another software if needed.
Poor input, e. To help you to exclude poorly focused images from processing PhotoScan suggests automatic image quality estimation feature. Images with quality value of less than 0. To disable a photo use Disable button from the Photos pane toolbar. PhotoScan estimates image quality for each input image. The value of the parameter is calculated based on the sharpness level of the most focused part of the picture.
Switch to the detailed view in the Photos pane using Details command from the Change menu on the Photos pane toolbar. Right button click on the selected photo s and choose Estimate Image Quality command from the context menu. Once the analysis procedure is over, a figure indicating estimated image quality value will be displayed in the Quality column on the Photos pane.
The following parameters control the photo alignment procedure and can be modified in the Align Photos dialog box:. Higher accuracy setting helps to obtain more accurate camera position estimates. Lower accuracy setting can be used to get the rough camera positions in a shorter period of time.
While at High. The alignment process of large photo sets can take a long time. A significant portion of this time period is spent on matching of detected features across the photos. Image pair preselection option may speed up this process due to selection of a subset of image pairs to be matched. In the Generic preselection mode the overlapping pairs of photos are selected by matching photos using lower accuracy setting first.
In the Reference preselection mode the overlapping pairs of photos are selected basing on the measured camera locations if present.
For oblique imagery it is recommended to set Ground altitude value in the Settings dialog of the Reference pane to make the preselection procedure more efficient. Ground altitude information must be accompanied with yaw, pitch, roll data for cameras to be input in the Reference pane as well. The number indicates upper limit of feature points on every image to be taken into account during current processing stage. Using zero value allows PhotoScan to find as many key points as possible, but it may result in a big number of less reliable points.
The number indicates upper limit of matching points for every image. Using zero value doesn't apply any tie point filtering. When this option is enabled, features detected in the masked image regions are discarded. For additional information on the usage of masks please refer to the Using masks section.
Recommended value is Too high tie-point limit value may cause some parts of the dense point cloud model to be missed. The reason is that PhotoScan generates depth maps only for pairs of photos for which number of matching points is above certain limit. Cloud command available from Tools menu. As a results sparse point cloud will be thinned, yet the alignment will be kept unchanged. PhotoScan supports import of external and internal camera orientation parameters.
Thus, if for the project precise camera data is available, it is possible to load them into PhotoScan along with the photos, to be used as initial information for 3D reconstruction job. Select Import Cameras command from the Tools menu.
Select the format of the file to be imported. The data will be loaded into the software. Camera calibration data can be inspected in the Camera Calibration dialog, Adjusted tab, available from Tools menu.
If the input file contains some reference data camera position data in some coordinate system , the data will be shown on the Reference pane, View Estimated tab. Once the data is loaded, PhotoScan will offer to build point cloud. This step involves feature points detection and matching procedures. As a result, a sparse point cloud - 3D representation of the tie-points data - will be generated.
Parameters controlling Build Point Cloud procedure are the same as the ones used at Align Photos step see above. PhotoScan allows to generate and visualize a dense point cloud model.
Based on the estimated camera positions the program calculates depth information for each camera to be combined into a single dense point cloud. PhotoScan tends to produce extra dense point clouds, which are of almost the same density, if not denser, as LIDAR point clouds. A dense point cloud can be edited and classified within PhotoScan environment or exported to an external tool for further analysis. Check the reconstruction volume bounding box.
To adjust the bounding box use the Resize Region and Rotate Region toolbar buttons. Rotate the bounding box and then drag corners of the box to the desired positions. In the Build Dense Cloud dialog box select the desired reconstruction parameters. To cancel processing click Cancel button. Specifies the desired reconstruction quality. Higher quality settings can be used to obtain more detailed and accurate geometry, but require longer time for processing.
Interpretation of the quality parameters here is similar to that of accuracy settings given in Photo Alignment section. The only difference is that in this case Ultra High quality setting means processing of original photos, while each following step implies preprocessing image size downscaling by factor of 4 2 times by each side. At the stage of dense point cloud generation reconstruction PhotoScan calculates depth maps for every image.
Due to some factors, like poor texture of some elements of the scene, noisy or badly focused images, there can be some outliers among the points. To sort out the outliers PhotoScan has several built-in filtering algorithms that answer the challenges of different projects. If the geometry of the scene to be reconstructed is complex with numerous small details on the foreground, then it is recommended to set Mild depth filtering mode, for important features not to be sorted out.
If the area to be reconstructed does not contain meaningful small details, then it is reasonable to chose Aggressive depth filtering mode to sort out most of the outliers. Moderate depth filtering mode brings results that are in between the Mild and Aggressive approaches.
You can experiment with the setting in case you have doubts which mode to choose. Additionally depth filtering can be Disabled. But this option is not recommended as the resulting dense cloud could be extremely noisy. If the Height field reconstruction method is to be applied, it is important to control the position of the red side of the bounding box: it defines reconstruction plane.
In this case make sure that the bounding box is correctly oriented. In the Build Mesh dialog box select the desired reconstruction parameters. PhotoScan supports several reconstruction methods and settings, which help to produce optimal reconstructions for a given data set. Arbitrary surface type can be used for modeling of any kind of object. It should be selected for closed objects, such as statues, buildings, etc. It doesn't make any assumptions on the type of the object modeled, which comes at a cost of higher memory consumption.
Height field surface type is optimized for modeling of planar surfaces, such as terrains or bas-reliefs. It should be selected for aerial photography processing as it requires lower amount of memory and allows for larger data sets processing. Specifies the source for the mesh generation procedure. Sparse cloud can be used for fast 3D model generation based solely on the sparse point cloud.
Dense cloud setting will result in longer processing time but will generate high quality output based on the previously reconstructed dense point cloud. Specifies the maximum number of polygons in the final mesh. Suggested values High, Medium, Low are calculated based on the number of points in the previously generated dense point cloud: the. They present optimal number of polygons for a mesh of a corresponding level of detail.
It is still possible for a user to indicate the target number of polygons in the final mesh according to his choice. It could be done through the Custom value of the Polygon count parameter. Please note that while too small number of polygons is likely to result in too rough mesh, too huge custom number over 10 million polygons is likely to cause model visualization problems in external software. If interpolation mode is Disabled it leads to accurate reconstruction results since only areas corresponding to dense point cloud points are reconstructed.
Manual hole filling is usually required at the post processing step. With Enabled default interpolation mode PhotoScan will interpolate some surface areas within a circle of a certain radius around every dense cloud point. As a result some holes can be automatically covered. Yet some holes can still be present on the model and are to be filled at the post processing step. Enabled default setting is recommended for orthophoto generation. In Extrapolated mode the program generates holeless model with extrapolated geometry.
Large areas of extra geometry might be generated with this method, but they could be easily removed later using selection and cropping tools. Specifies the classes of the dense point cloud to be used for mesh generation.
Preliminary dense cloud classification should be performed for this option of mesh generation to be active. More information on mesh decimation and other 3D model geometry editing tools is given in the Editing model geometry section. Select the desired texture generation parameters in the Build Texture dialog box. The texture mapping mode determines how the object texture will be packed in the texture atlas. Proper texture mapping mode selection helps to obtain optimal texture packing and, consequently, better visual quality of the final model.
The default mode is the Generic mapping mode; it allows to parametrize texture atlas for arbitrary geometry. No assumptions regarding the type of the scene to be processed are made; program tries to create as uniform texture as possible. In the Adaptive orthophoto mapping mode the object surface is split into the flat part and vertical regions.
The flat part of the surface is textured using the orthographic projection, while vertical regions are textured separately to maintain accurate texture representation in such regions.
When in the Adaptive orthophoto mapping mode, program tends to produce more compact texture representation for nearly planar scenes, while maintaining good texture quality for vertical surfaces, such as walls of the buildings. In the Orthophoto mapping mode the whole object surface is textured in the orthographic projection. The Orthophoto mapping mode produces even more compact texture representation than the Adaptive orthophoto mode at the expense of texture quality in vertical regions.
Spherical mapping mode is appropriate only to a certain class of objects that have a ball-like form. It allows for continuous texture atlas being exported for this type of objects, so that it is much easier to edit it later. When generating texture in Spherical mapping mode it is crucial to set the Bounding box properly. The whole model should be within the Bounding box.
The red side of the Bounding box should be under the model; it defines the axis of the spherical projection.
The marks on the front side determine the 0 meridian. The Single photo mapping mode allows to generate texture from a single photo.
The photo to be used for texturing can be selected from 'Texture from' list. The Keep uv mapping mode generates texture atlas using current texture parametrization. It can be used to rebuild texture atlas using different resolution or to generate the atlas for the model parametrized in the external software.
Mosaic - gives more quality for orthophoto and texture atlas than Average mode, since it does not mix image details of overlapping photos but uses most appropriate photo i. Mosaic texture blending mode is especially useful for orthophoto generation based on approximate geometric model. Exporting texture to several files allows to archive greater resolution of the final model texture, while export of high resolution texture to a single file can fail due to RAM limitations.
The feature is useful for processing of data sets with extreme brightness variation. However, please note that color correction process takes up quite a long time, so it is recommended to enable the setting only for the data sets that proved to present results of poor quality. To improve result texture quality it may be reasonable to exclude poorly focused images from processing at this step. PhotoScan suggests automatic image quality estimation feature.
PhotoScan estimates image quality as a relative sharpness of the photo with respect to other images in the data set. Certain stages of 3D model reconstruction can take a long time. The full chain of operations could easily last for hours when building a model from hundreds of photos. It is not always possible to finish all the operations in one run. PhotoScan allows to save intermediate results in a project file. This includes mesh and texture if it was built. You can save the project at the end of any processing stage and return to it later.
To restart work simply load the corresponding file into PhotoScan. Project files can also serve as backup files or be used to save different versions of the same model.
Note that since PhotoScan tends to generate extra dense point clouds and highly detailed polygonal models, project saving procedure can take up quite a long time. You can decrease compression level to speed up the saving process. However, please note that it will result in a larger project file. Compression level setting can be found on the Advanced tab of the Preferences dialog available from Tools menu. Project files use relative paths to reference original photos.
Thus, when moving or copying the project file to another location do not forget to move or copy photographs with all the folder structure involved as well. Otherwise, PhotoScan will fail to run any operation requiring source images, although the project file including the reconstructed model will be loaded up correctly. Alternatively, you can enable Store absolute image paths option on the Advanced tab of the Preferences dialog available from Tools menu.
PhotoScan supports export of processing results in various representations: sparse and dense point clouds, camera calibration and camera orientation data, mesh, etc. Point clouds and camera calibration data can be exported right after photo alignment is completed.
All other export options are available after the 3D model is built. To align the model orientation with the default coordinate system use Rotate object button from the Toolbar.
In some cases editing model geometry in the external software may be required. PhotoScan supports model export for editing in external software and then allows to import it back, as it is described in the Editing model geometry section of the manual.
Main export commands are available from the File menu and the rest from the Export submenu of the Tools menu. Specify the coordinate system and indicate export parameters applicable to the selected file type, including the dense cloud classes to be saved. Split in blocks option in the Export Points dialog can be useful for exporting large projects. It is available for referenced models only.
Agisoft PhotoScan User Manual. Professional Edition, Version .
The accuracy of the measurements, allow the 3D models created using the lidar drone to be used in planning, design and decision making processes across various sectors.
Lidar sensors can also pierce dense canopy and vegetation, making it possible to capture bare earth structure which satellites cannot see, as well as ground cover in enough detail to allow vegetation categorization and change monitoring. Through the use UAV photogrammetry and lidar mapping, there is a large range of products, which can be extracted from the aerial imagery.
These products include;. Here are some of the best uses of lidar and photogrammetry. All of these sectors benefit for having precision 3D images of their projects. They also benefit with increased efficiency and reduced costs than using traditional aircraft. Here is a very specific article which covers all the uses of lidar sensors and best Lidar UAVs. NOTE: Vegetation Modelling use multispectral sensors and lidar sensors rather than photogrammetry sensors.
There are several drones with cameras, which are ready made for 3D Mapping. In reality, any drone equipped with an intervalometer on the camera would be suitable. An intervalometer triggers the camera shutter. A minimum photo capture would be 1 photo every every 2 seconds. The below cameras all work well for photogrammetry and mapping.
GoPro camera lenses are not great for creating aerial maps. To get some sort of decent results, you would have to be flying higher than feet approx meters. Also, the integrated cameras on the DJI drones such as the Phantom 3, Phantom 4 and Inspire 1 will allow you to capture photogrammetry images.
More information below on DJI. The photos should be as clear as possible. If you have drone with a zoom camera and you zoom in on your aerial photos, are the small features blurry. If so, try to figure out the reason for the blur and your 3D images will improve immensely.
Eliminate everything standing in the way of maximum sharpness. This is where more megapixels actually matters. Shooting in RAW definitely helps. Lighting is always important in photography. Shallow depth-of-field is actually a bad thing for photogrammetry, because blurred details confuse the software.
The goal is to have high detail, sharp, and flat imagery which requires closing up the aperture, giving more light. Good lighting will also allow you to lower the ISO, which will reduce grain, and it will allow you to have a high shutter speed which also reduces motion blur. Give the 3D photogrammetry software only high resolution information. If one image is off or not aligning correctly with the images before and after it, then delete this image. Humans are still smarter than software, which will be stitching the images together.
Filtering out bad or off line photos before the software gets to work, will make the work of the 3D photogrammetry software easier giving higher image accuracy.
If you are new to the world of photography, here is a terrific article with on aerial photography tips. Most of the drones highlighted below, are featured in our drone reviews on this website.
Also check out 7 very affordable drones with autopilot and GPS which are essential technologies for photogrammetry and lidar mapping. DroneDeploy is one of the top companies producing photogrammetry software. DroneDeploy have a mobile app for programming the autonomous flight and capturing photos, which can then be uploaded to the DroneDeploy Platform in the cloud.
This DroneDeploy platform will then create the 3D maps and models. You can view it during the automated flight. Read the full DroneDeploy review here, which has all the information on their 3D maps and models software. The Mavic 2 and older Mavic Pro is perfect for photogrammetry and lidar mapping applications. These quadcopters all use the latest IMU and flight control stabilization technology to fly super smoothly.
They also have a 4k stabilized integrated gimbal and camera. The Mavic are all compatible drones for use with the top 3D mapping software from companies such as DroneDeploy or Pix4D. Waypoint navigation is very important for creating accurate 3D photogrammetry images. The Mavic drones uses the Waypoints for its autonomous programmed flight.
However, all the top photogrammetry software will include waypoint navigation. With a transmission range of 4. It is built to closely integrate with a host of powerful DJI technologies, including the A3 flight controller, Lightbridge 2 transmission system, Intelligent Batteries and Battery Management system, for maximum performance and quick setup. The modular design of the M makes it quick and easy to set up.
Top quality cameras along with an super stable multirotor will give you perfect 3D maps every time. The M features an extended flight time and a 5 km long-range, ultra-low latency HD image transmission for accurate image composition and capture. This multirotor uses 6 small DJI intelligent batteries with a customized battery management system and power distribution board allowing all six batteries to be turned on with one button press, and keeps the system in flight in the event of a failure of a single battery, and allows users to check the battery status in real-time during flight.
The Matrice has enhanced GPS with allows for highly accurate photogrammetry. You can read further on the DJI Matrice here. The Phantom 4 flies perfectly smooth, uses dual navigation systems, uses obstacle detection and collision avoidance sensors.
It has a 4k camera. Very importantly it also uses waypoint navigation. It the one of the most popular quadcopters to be used for 3D imaging. You can read further on the Phantom 4 Pro below. Full Phantom 4 Review with videos. In September , a firmware and software update gave the DJI Inspire 1 and Phantom 3 models waypoint navigation and can now be used for photogrammetry. Also the Altizure app is pretty good for photogrammetry.
However, there are a range of 3rd party software ground stations solutions including some which are built into the actual 3D mapping software. The Sensefly eBee X is the fixed-wing drone designed specifically for all your mapping needs. It was designed to boost the quality, efficiency and safety of your data collection. The eBee X has a maximum flight time of 90 min and has a vast coverage of up to hectares 1, acres at feet, while its high precision on helps you to achieve absolute accuracy of down to 3 cm 1.
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