A fast hyperspectral change detection algorithm for agricultural crops based on low-rank matrix and morphological feature extraction
Crop change detection study is the foundation of agricultural sustainability.The inherent high spectral resolution of hyperspectral images, combined with multi-temporal datasets, facilitates the detection of subtle changes.To enhance the accuracy and argan oil pure purple applicability of hyperspectral change detection in agricultural scenes, this