Difference between revisions of "UAS HTP Data Analysis"
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Megzcalvert (Talk | contribs) (→Agisoft PhotoScan Image Processing) |
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==== 1. Load photo's (in .Tiff format) to the workspace. ==== | ==== 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. ==== | ==== 2. Select Align images from workflow menu. ==== | ||
- Accuracy High | - Accuracy High | ||
| − | - Pair preselection | + | - Pair preselection Reference |
- 150 000 key points | - 150 000 key points | ||
- 0 tie points | - 0 tie points | ||
| Line 24: | Line 25: | ||
- Heading lat, long, alt | - Heading lat, long, alt | ||
| − | ==== 6. | + | ==== 6. Optimize alignment ==== |
- Select settings in ground control pane | - Select settings in ground control pane | ||
-- Measurement accuracy - camera accuracy 10 | -- Measurement accuracy - camera accuracy 10 | ||
| Line 31: | Line 32: | ||
- Projection 0.1 | - Projection 0.1 | ||
- Tie point 4 | - Tie point 4 | ||
| − | - Deselect all images and select all markers to be used in | + | - Deselect all images and select all markers to be used in optimization |
==== 7. Dense Point Generation ==== | ==== 7. Dense Point Generation ==== | ||
| − | - | + | - If interested in height extraction choose the Higher quality |
==== 8. Classify Points ==== | ==== 8. Classify Points ==== | ||
| Line 43: | Line 44: | ||
- 0.05 m | - 0.05 m | ||
- from unclassified, created | - from unclassified, created | ||
| + | - You can also perform manual classification | ||
| − | ==== 9. Build | + | ==== 9. Build DEM ==== |
| − | + | - based on dense point cloud data | |
| − | + | - point classes: uncheck the noise points | |
| − | + | ||
| − | + | ||
| − | ==== 10 | + | ==== 10. Export DEM ==== |
| − | + | ||
| − | + | ||
- Export GeoTiff/Bil/XYZ from File menu | - Export GeoTiff/Bil/XYZ from File menu | ||
- Projection Type: Geographic | - Projection Type: Geographic | ||
| − | ==== | + | ==== 11. Build Orthophoto ==== |
- Projection type: Geographic | - Projection type: Geographic | ||
- Blending mode: Average or Mosaic | - Blending mode: Average or Mosaic | ||
- Region can select setup boundaries | - Region can select setup boundaries | ||
| − | ==== | + | ==== 12. Export Orthophoto ==== |
| − | + | - Check write KML file, and write world file | |
| − | + | ||
Latest revision as of 15:17, 13 April 2017
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. Optimize alignment
- 1.1.7 7. Dense Point Generation
- 1.1.8 8. Classify Points
- 1.1.9 9. Build DEM
- 1.1.10 10. Export DEM
- 1.1.11 11. Build Orthophoto
- 1.1.12 12. 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.
- some tips: do not crop or geometrically transform, i.e. resize or rotate, the images.
- 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
