Difference between revisions of "UAS HTP Data Analysis"

Revision as of 19:09, 18 November 2016

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.

2. Select Align images from workflow menu.

- Accuracy High
- Pair preselection Generic
- 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. Optimise 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 optimisation

7. Dense Point Generation

- High and moderate

8. Classify Points

- Tools > Dense Point 
- Classify ground
- 15^o 
- 4.2 m
- 0.05 m
- from unclassified, created

9. Build Mesh

- Object type: height field
- Source data: Dense Cloud
- Polygon count: High
- Point classes: ground

10. Build DEM

11. Export DEM

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

12. Build Orthophoto

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

13. Export Orthophoto

Repeat steps 9-13 for all classes of points