Difference between revisions of "UAS HTP Data Analysis"
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=== Agisoft PhotoScan Image Processing === | === 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 |
Revision as of 19:09, 18 November 2016
Welcome to the Poland Lab sUAS data analysis Wiki page !
Contents
- 1 sUAS Data Anaysis Procedures Overview
- 1.1 Agisoft PhotoScan Image Processing
- 1.1.1 1. Load photo's (in .Tiff format) to the workspace.
- 1.1.2 2. Select Align images from workflow menu.
- 1.1.3 3. Estimate image quality
- 1.1.4 4. Rotate box with preloaded python script
- 1.1.5 5. Import GCP's as .csv file
- 1.1.6 6. Optimise alignment
- 1.1.7 7. Dense Point Generation
- 1.1.8 8. Classify Points
- 1.1.9 9. Build Mesh
- 1.1.10 10. Build DEM
- 1.1.11 11. Export DEM
- 1.1.12 12. Build Orthophoto
- 1.1.13 13. Export Orthophoto
- 1.1 Agisoft PhotoScan Image Processing
sUAS Data Anaysis Procedures Overview
Agisoft PhotoScan Image Processing
1. Load photo's (in .Tiff format) to the workspace.
- 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