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Win64 Rock Flow Dynamics tNavigator 4. Relative Photos:Photos in which the point is observed. The table headers are as follows: No.
Name:Photo's Name. X, Y:Observation i. Error:Observation's error after absolute alignment. The toolbar above the 2D Observation Table contains the following functions: Add 2D Observation:Firstly, you have to double-click a relative photo in the Photos Panel, in order to show this photo in the Photo Viewer.
Then you can click the pixel position of the point in the photo and add this 2D observation. An observation i. Delete 2D Observation:Delete selected Observation s in the table.
After clicking a prediction in the 2D Prediction Table, the Photo Window will jump to this position immediately, so that manual search is avoided. X, Y:Prediction i. Predicted position is shown as green X within circle. Note: Preconditions of prediction are Photos Alignment and 1. Photo deletion: Right click any selected photo and choose [Delete Photo]. Photo sorting: Click the header of any column to sort the table.
Click the same header to switch between ascending and descending. Source data: display imported POS. Optimized data: display optimized POS. Photo Properties: Right click any photo and select [Properties] to view detail information about this photo. Update Alignment If photo alignment was completed, clicking would align current project to imported POS. Re-register Image If photo alignment result was obviously wrong for some photo, user could try right-click it and choose [Re-Register Photo].
Then, modify the value of [Location Accuracy] or [Rotation Accuracy] in the pop-up dialog. Refer to Use POS.
Logs are generated all over the software to tell user the status of the software. If the software run into any trouble, logs would help to locate the problem. Blue: blue log is the normal type. Parameters and progress are showed in blue. If a blue log started with a Warning, user should take caution as there might be something wrong. In most case, the software could keep running after warning. It consist of Visible Orthophotos list, Assign button and Cancel button, as shown below:. Assign Photos After determining the best overlay orthophoto, click [Assign] to adopt the overlay and clear Visible Orthophotos list..
Cancel Click [Cancel] to abandon current editing and clear Visible Orthophotos list. After finishing photos alignment and dense cloud generation, user could double-click the tie points or dense cloud at Workstation Window to show it in the 3D viewer. Functions Pan: Press mid-key then drag.
Rotate: Press left-key then drag. After creating project or opening project, user could double-click the input photo at Workstation Window or Photo Window to show it in the Photo viewer. Functions Pan: Press left-key or mid-key then drag. Function Pan: Press left-key or mid-key then drag. Settings Photo alignment procedure includes feature point detection, feature point matching, and bundle adjustment. The parameters are described below: Feature Point Detection Max Dimension: Input images are sampled during feature point detection upsampling or downsampling according to this parameter.
High Default : Detects the largest number of feature points, more robust than Medium and Low, meanwhile, consumes the longest time. Medium: Detects less feature points than High, consumes less time than High. Low: Detects the smallest number of feature points, consumes the least time. Note: Within a certain range, detecting more feature points could improve robustness.
However, if feature points were too many, result might get bad as too much noise might been introduced. The software has made the trade-off between efficiency and robustness, in most cases using the default High option could get the best result. Max Features Default"" : The max number of feature points in each image. Increasing this threshold could lead to a longer processing time. Note: The software has made the trade-off between efficiency and robustness, in most cases using the default threshold could get the best result.
Feature Point Matching Pair Selection Mode: In order to improve the efficiency of feature point matching, image pair selection is performed. Feature point matching is only performed between the selected image pairs. Currently, there are three image pair selection modes: Generic, Exhaustive, Reference. Generic Default : Down-sampling original image and matching low-resolution images to select image pairs.
Exhaustive: Selecting all image pairs, which is time consuming. Note: The Reference mode is valid only in the presence of geographic information. In most cases, using the default option Generic could get the best result. If the photo alignment result is obviously wrong, try Exhaustive mode might get better result. Max Tie Points Default"" : The maximum number of two-view tie points between two images. Too few two-view tie points will affect the accuracy of processing results and might even lead to processing failure.
In most cases, using the default could get the best result. Bundle Adjustment Refine Intrinsics Default"Refine All Intrinsics" : Check to refine specific intrinsics, supported intrinsics include focal length f , principal point cx, cy , radial distortion parameters k1, k2, k3 , tangential eccentric distortion parameters p1, p2 , the imaging plane distortion parameters b1, b2. The self-calibration algorithm within the software can obtain good estimation of.
Using Calibrated Intrinsics is also supported. If the imported intrinsics are very accurate, there's no need to check Refine Intrinsics, thus the camera intrinsics remain unchanged during bundle adjustment.
Refine Extrinsics Default"Refine All Extrinsics" : Check to refine specific Extrinsics, supported extrinsics include rotation r and translation t parameters. Don't change default value unless you have known accurate parameters. Outliers Threshold Default"6. Tie point with reprojection error larger than this value would be treat as outliers and removed.
This strategy could suppress the influence of the outliers. Settings The parameters are described below: Quality: This parameter defines the pyramid level of input images. Higher quality corresponds to larger image scale, which takes longer processing time.
Ultra High: Original image scale is used to build dense cloud. More details are reconstructed with this option than with High quality, especially in easy-to-match areas e. This option takes the longest time. This is the default option. Less details are reconstructed with this option than with High quality. However, more points are generated in difficult areas e. This option takes less time than default. Less details are reconstructed with this option than with High or Medium quality.
This option takes the shortest time. Type: This parameter defines the type of output dense cloud. It can be edited only in template creation. This option is suitable for complete dense cloud reconstruction. If dense cloud were built, dense points would be used as input source data; If not, sparse tie points from photos alignment would be used.
The related parameters are as follows. Max Building Size Default" After a planar grid is built using this parameter as cell size, low points in each cell are searched as ground seed points. Please set this parameter according to the actual building sizes in the region. Max Terrain Slope Default" Angle between the horizontal plane and arbitrary triangular face in the TIN shouldn't exceed this threshold.
Please set this parameter according to the actual slopes in the region. Iteration Distance Default"1. When a new point is added to arbitrary triangular face, the distance between this point and the triangular face shouldn't exceed this threshold. Large values are suitable for steep terrain, and small values for flat terrain.
Iteration Angle Default" When a new point is added to arbitrary triangular face, the angle between the triangular face and the vector from new point to triangular point shouldn't exceed this threshold. Here it's a non-editable value that shows the current project coordinate system.
You can set coordinate system when using POS or transform coordinate system when exporting productions. Smaller value corresponds to higher resolution, which takes longer processing time. Auto Default :If checked, the highest resolution with a scale factor is used. This option is checked with scale factor 2 by default. Manual:If checked, you can input a value. Use External. Image undistortion, image orthorectification, exposure compensation, color correction, image stitching, and image blending are included in this program.
Input images are mosaicked together at pitch level without considering occlusion. This mode is also suitable for forest scene. Due to the nature of DEM, which does not contain information about objects above the ground, the resulting DEM may have some misalignment. Input images are mosaicked together at pixel level considering occlusion. In most case, this mode runs fast as well as generates better result.
Here it's a noneditable value that shows the current project coordinate system. If the average size of orthophotos was larger than x , blend level would be the higher the better.
Color Correction Default"Enabled" : If enabled, the program wound adjust input images' brightness, contrast, saturation and white balance during orthorectification. If input images were multispectral images, this function would be banned. Max Oblique Angle Default"60 degree" : Images with oblique angles larger than this value is filtered as they tend to cost too mush computation resource but generate pool results. This option is checked with scale factor 1 by default.
Settings The parameters are described below: Coordinate System: This parameter defines the target coordinate system of the output data Export Undistorted Photos: Check this option to export undistorted Photos Note:Different softwares using different definitions of camera model, in order to maintain the commonality of data, the distortion parameters are set to 0, so it is recommended to export the corresponding undistorted photos.
Settings The parameters are described below: Coordinate System: This parameter defines the target coordinate system of the output data,including horizontal coordinate system and vertical coordinate system.
Please refer Coordinate System Custom Geographic Transformation optional :Custom parameters used to convert the output data to the selected horizontal coordinate system Source: Choose data source Sparse Point Cloud: Choose Tie Points generated by photo alignment as data source Dense Point Cloud: Choose Dense Cloud generated by dense matching as data source Point colors: Export point color if checked Point normals: Export point normal if checked Note: LAS format does not support "Point nornamls" option Point classification: Export point classification if checked Note: if DEM is not generated, all point clouds are not classified.
DEM generation divides point clouds into two class: ground and non-ground. Setting The parameters are described below: Coordinate System: This parameter defines the target coordinate system of the output data,including horizontal coordinate system and vertical coordinate system. Both of them are needed for stitching lines editing. So it is recommended to export orthophotos. LiMapper can read these POS information automatically when loading photos.
By the way,the UTM projection coordinate system is determined by longitude, latitude and altitude of the first photo. Click button in the Photo Window 3.
The parameters in the [POS Editor] are described below: Separator optional Adjust the separator to allow the data to be displayed normally. The combination separator is default. User could also input other delimiter. Rotation Angles optional Select the type of imported rotation angles.
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Note: If any of the software instance i. If the license code has been deleted, the user should reactivate on the same computer first, then revoke and activate this key on the other computer.
Note: Please contact for inquiry and purchase. After installation the menu language is chosen according to the system language. Language change needs a restart to be effective. How to break processing?
Click the red button in the toolbar to break processing Please note that you have to wait a while before all the multi-thread tasks and GPU calculation tasks are terminated. A process can be resumed from break-point. Please refer to [How to resume from break-point? Currently it's not supported to pause processing in LiMapper.
But you can go to Windows Resource Monitor, right-click the process and then click [Suspend Process] to pause. In the same way you can click [Resume Process] to recover. Why is "resume from break-point" needed? The processing of very large dataset, which takes more than hours or days, may be interrupted by accidents such as system crash or power cut. The user can also break the processing in some cases.
The "resume from break-point" saves a lot of time, if the user want to start the process again. How to resume from break-point? If current process has the same parameters as last process, it's resumed automatically. A example of LiMapper project consists of following files and folders: Please copy all the above files and folders to the target folder in the same or in another compuer. The input images' absolute paths are saved in "ProjectName.
Please edit this file if the paths are changed. Note: Don't forget to backup file before editing. What if the deviations between GPS positions and camera positions after photos alignment are large object in the scene is distorted? Those consist out of two raster datasets,. The estimated time to complete. The material contained in this document is confidential and intended for use only by parties authorized by Gatewing.
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Features Processing of various types of images, Auto Calibration, Frames including Fisheye , Spherical and cylindrical cameras, Support for multi-camera projects. Elaborate model editing for accurate results, classification points to customize geometry reconstruction, output to. LAS file to take advantage of the classic Gadesh Gar data processing point. Internal tools for measuring distance, area and volume, for complex metric analysis, Metashape products can be easily transferred to external tools in a variety of formats.
Insert GCP to control the accuracy of results, scale tool to locate reference distance without running positioning equipment. In addition to batch processing, Python scripts are a way to save human intervention, a parameter format for multiple similar datasets.
Software Learning Categories. Agisoft Metashape Professional 1. Features Processing of various types of images, Auto Calibration, Frames including Fisheye , Spherical and cylindrical cameras, Support for multi-camera projects Elaborate model editing for accurate results, classification points to customize geometry reconstruction, output to.
LAS file to take advantage of the classic Gadesh Gar data processing point Digital terrain level or model depending on the project , geographic reference based on EXIF metadata, EPSG registry support system coordination WGS84, UTM Internal tools for measuring distance, area and volume, for complex metric analysis, Metashape products can be easily transferred to external tools in a variety of formats.
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