UAS HTP Data Analysis

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Revision as of 15:17, 13 April 2017 by Atenah (Talk | contribs) (Agisoft PhotoScan Image Processing)

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Welcome to the Poland Lab sUAS data analysis Wiki page !

sUAS Data Anaysis Procedures Overview

Agisoft PhotoScan Image Processing

1. Load photo's (in .Tiff format) to the workspace.

- some tips:  do not crop or geometrically transform, i.e. resize or rotate, the images.

2. Select Align images from workflow menu.

- Accuracy High
- Pair preselection Reference
- 150 000 key points
- 0 tie points
- Adaptive Camera selected

3. Estimate image quality

- Detailed view in photo pane
- Select all photo's to be analysed
- Right-click and choose estimate image quality

4. Rotate box with preloaded python script

5. Import GCP's as .csv file

- Heading lat, long, alt

6. Optimize alignment

- Select settings in ground control pane
 -- Measurement accuracy - camera accuracy 10
                         - Marker accuracy 0.005
                         - Scale bar 0.001
                         - Projection 0.1
                         - Tie point 4
- Deselect all images and select all markers to be used in optimization

7. Dense Point Generation

- If interested in height extraction choose the Higher quality

8. Classify Points

- Tools > Dense Point 
- Classify ground
- 15^o 
- 4.2 m
- 0.05 m
- from unclassified, created
- You can also perform manual classification

9. Build DEM

- based on dense point cloud data - point classes: uncheck the noise points

10. Export DEM

- Export GeoTiff/Bil/XYZ from File menu
- Projection Type: Geographic

11. Build Orthophoto

- Projection type: Geographic
- Blending mode: Average or Mosaic
- Region can select setup boundaries

12. Export Orthophoto

- Check write KML file, and write world file