Rotation invariant change-detection
Problem: Change detection is a much researched area. Most algorithms run on temporal satellite images. Case in point is when the source of images are different (say for instance trying to compare batches of UAV fed images to satellite images of a particular area) - where the orientation or resolution or both cannot be expected to be the same. A typical military use case is to detect change in deployment along a large area.
Solution: SURF/SIFT algorithms detect 'features' and are rotation invariant. Typical use cases - similarities between two images. The same features can be used to detect changes too.
How? Apply the algorithm (SIFT/SURF) to pick features in both the images. Compare features to select ones that are unique in each image.
Geospatial Technologies & Remote Sensing | Innovator in Generative AI Applications | Holder of Multiple Patents & Renowned International Researcher | Advanced Geoinformatics & Technical Expert
2 年Call me . We can discuss There are certain other robust ways as well to solve this particular military problem
Security Management || Operations Management || People And Processes || Indian Army Veteran
2 年Complex Problem.... Simple Solution... Great Job ??
JP Morgan Chase & Co. | Military Veteran
2 年That's a lot to do with How? & Why of many image ?? interpretations and conclusions. Best wishes on your studies ?. Great going ??