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Classification Of Hyperspectral Images

3 papers with code · Computer Vision
Subtask of Hyperspectral

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BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image

17 Apr 2019ucalyptus/BS-Nets-Implementation-Pytorch

The framework consists of a band attention module (BAM), which aims to explicitly model the nonlinear inter-dependencies between spectral bands, and a reconstruction network (RecNet), which is used to restore the original HSI cube from the learned informative bands, resulting in a flexible architecture.

#6 best model for Hyperspectral Image Classification on Indian Pines (using extra training data)

CLASSIFICATION OF HYPERSPECTRAL IMAGES HYPERSPECTRAL IMAGE CLASSIFICATION

Fast forward feature selection for the nonlinear classification of hyperspectral images

5 Jan 2015mfauvel/FFFS

In order to perform fast in terms of computing time, an efficient implementation is proposed.

CLASSIFICATION OF HYPERSPECTRAL IMAGES FEATURE SELECTION