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 …
[PDF][PDF] A Novel Fuzzy Inference System-Based Endmember Extraction in Hyperspectral Images.
MR Devi, S Kalaivani - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
Spectral unmixing helps to identify different components present in the spectral mixtures
which occur in the uppermost layer of the area owing to the low spatial resolution of …
which occur in the uppermost layer of the area owing to the low spatial resolution of …
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 …