Discriminative spectral–spatial feature extraction-based band selection for hyperspectral image classification
Recently, some spectral–spatial band selection (BS) strategies have become hugely
popular as they fuse the spectral information of the pixels and the spatial relationship with …
popular as they fuse the spectral information of the pixels and the spatial relationship with …
Band selection using combined divergence–correlation index and sparse loadings representation for hyperspectral image classification
Band selection and feature extraction are the two paradigms of hyperspectral dimensionality
reduction. While feature extraction methods have many desirable properties, band selection …
reduction. While feature extraction methods have many desirable properties, band selection …
Two-level band selection framework for hyperspectral image classification
Dimensionality reduction strategies can be broadly categorized as band selection and
feature extraction. Researchers and analysts from the remote sensing community give …
feature extraction. Researchers and analysts from the remote sensing community give …