mengxue-rs/a-spn
the official implementation of paper Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification (A-SPN).
This tool helps researchers and scientists working with satellite or airborne imaging to automatically identify and classify different materials or land covers in hyperspectral images. You input raw hyperspectral image data, and it outputs a classification of each pixel, revealing what it represents. It's designed for those analyzing complex spectral information.
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Use this if you need to accurately classify various features within detailed hyperspectral images, such as identifying crop types, mineral compositions, or environmental changes.
Not ideal if you are working with standard RGB images or require general image classification without the fine spectral detail of hyperspectral data.
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Feb 23, 2022
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