GIS
iPhoAT – feature extraction at subpixel accuracy
All tests have proven that iPhoAT is better in accuracy than most of available software / library (e.g. emgu) Subpixel accuracy is amazing
Photogrammetry
Cross Correlation Exercise
Based on prof Cyrill Stachniss lecture I have decided to test the quality of cross correlation with subpixel accuracy. Results can be found below. 4 overlapped images have been tested from 2 different strips. High level matching achieved only when Read more…
GIS
Image Coverage Map based on EO parameters and DTM
Input data : Raster DTM External orientation parameters GDAL library C# Chosen parameters: DTM, from Lidar dataset – 1m grid Coverage map GSD = 1m City of Bergen, Terrasolid data ESRI Arcgis 10.2.1 – map display
Images
Image processing, feature extraction examples with EMGU CV
Feature detection – BRISK Example Image, Bergen – TerraSolid, Prague, Midas, Focal=35mm, PixelSize=0.0064m
GIS
Simplyfied QuickScan Procedure
Generate image footprints based on dGPSins data Generate LIDAR strips outlines AOI coverage map images AOI coverage map LIDAR Gaps / missing data / missing LIDAR / missing images Reporting Image georeferencing EWW