A particular aspect of autonomous target tracking for planetary bodies, detection of `distinct' features appearing in the scene, is addressed. Using the gray level cooccurrence (GLC) matrices, object detection is done by applying measures (metrics) defined on GLC matrices to different regions on the image plane. The decision logic for detecting `unique' features can then be implemented using a supervised or unsupervised parametric method on a set of GLC- metric measurements. Detailed algorithms and test results based on Voyager image data are presented.
"Detection of planetary terrain features", Proc. SPIE 2466, Space Guidance, Control, and Tracking II, (12 June 1995); doi: 10.1117/12.211507; https://doi.org/10.1117/12.211507