In recent years. sparse self-representation has achieved remarkable success in hyperspectral band selection. However. the traditional sparse self-representation-based band selection methods tend to neglect the spatial distribution differences and spectral redundancy between heterogeneous regions. https://thebrickes.shop/product-category/spa/