Hyperspectral Change Detection and Supervised Matched Filtering Based on Covariance Equalization
- A Schaum, A Stocker
- Proc. SPIE
Change detection is studied in hyperspectral images. In this paper, hyperspectral image processing for change detection, which aims to detect the differences occurring between images acquired from the same scene at different times. Local Binary Similarity Pattern (LBSP) is used for this detection.