We present a novel two-step scheme based on a clustering approach followed by representatives selection from each cluster. The classification results of real ...
Hyperspectral imaging (HSI) is an emerging technique, which allows to consistently capture images in the visible as well as infrared light range.
Apr 30, 2019 · Abstract—Band selection, by choosing a set of representative bands in hyperspectral image (HSI), is an effective method to.
Jun 18, 2019 · In this article, we review current hyperspectral band selection methods, which can be classified into six main categories: rank- ing based, ...
For the existing hyperspectral image (HSI) band selection (BS) algorithm does not consider the strong correlation between adjacent bands and does not meet the ...
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Band selection intends to overcome these limitations by selecting a small subset of spectral bands that provide more information or better performance for ...
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In this paper, we propose a region-wise latent feature fusion and graph filter embedded subspace clustering approach to address the band selection problem.
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Feb 14, 2023 · In this paper, we proposed an unsupervised band selection method based on the multimodal evolutionary algorithm and subspace decomposition to alleviate the ...
Aug 24, 2021 · This method considers each band image as a feature vector, clustering band images using subspace clustering method. After that, a representative ...
This article presents a novel approach, referred to as self-mutual information-based band selection (SMI-BS) for hyperspectral image classification (HSIC) to ...