#AGISOFT METASHAPE HOW TO#
#AGISOFT METASHAPE PRO#
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Camera optimization is performed between each iteration to improve the camera lens model using the newly filtered subset of higher-quality sparse point matches. The third filter, Reprojection Error (Re), is applied in an iterative fashion such that only a fraction (default is 10%) of the total sparse points is selected and deleted within an iteration. Once the required percentage of sparse points is selected, the points are deleted and camera optimization is performed. The default is for each filter to select 50% of the sparse points, but this percentage can be changed by the user. Although initial target filter values can be supplied by the user, the final filter values will be determined by the value required to select a pre-defined percentage of the sparse points. After initial image alignment, two filters (Reconstruction Uncertainty, and Projection Accuracy ) are applied sequentially to a point cloud with camera optimization performed after each filter. The script allows users to align imagery and apply different gradual selection filters to reduce errors in sparse point clouds. Legacy versions of this script which implement a previous version (version 1.0) of the workflow are available in the legacy_scripts directory within this repository. The error reduction technique and sparse point cloud gradual selection filter values were developed with the goal of maintaining the accuracies of traditional photogrammetric processes with newer techniques supported by structure from motion (SfM) based software. The workflow involves the application of gradual selection filters to reduce errors in sparse point clouds, and improve camera lens models and camera position estimates. Geological Survey Open-File Report 2021-1039 (Over et al., 2021). The current version of the script (version 2.0) approximates the workflow described in U.S.

#AGISOFT METASHAPE SOFTWARE#

If you are having trouble processing with Agisoft, we recommend looking through their Knowledge Base, or contact their support team.This repository contains python scripts which automate image alignment and sparse point cloud error reduction in the Agisoft Metashape/Photoscan structure from motion photogrammetry software package using the Agisoft Metashape Python API. Then you will select a single directory to import all your photos at once.ĭo not add photos from the Red or Blue cameras individually, as this may affect your processing results negatively.

However, you will want to choose the 'Add Folder' option instead. Normally, one would use the 'Add Photos' option from the Workflow menu. In order to process 10-band data from the RedEdge-MX Dual Camera System there is a special consideration to be taken when importing images. If this happens, restart Metashape and re-import the images. Note: Sometimes Metashape can mislabel the bands with multiple names, as shown in the reflectance calibration menu below.

#AGISOFT METASHAPE PRO#

We have created a video tutorial for processing Altum data in Metashape Pro 1.5, which can be viewed below:

#AGISOFT METASHAPE HOW TO#

Data collected with MicaSense sensors can be processed, stitched, aligned, and radiometrically calibrated, in a number of different photogrammetry solutions.Īgisoft has published two tutorials showing how to process RedEdge and Altum data in Metashape.įor best results, be sure to deselect 'Write alpha channel' when you export your orthomosaic:įor processing 10-band data from the Dual Camera System, please see the next section.

Agisoft metashape