Mar 2, 2018 · This letter presents a band selection method relying on saliency bands and scale selection (SBSS). The SBSS method is used to excavate the ...
This letter presents a band selection method relying on saliency bands and scale selection (SBSS). The SBSS method is used to excavate the hidden ...
TL;DR: This paper presents an overview of the Scale Saliency algorithm, a novel method for measuring the saliency of image regions and selecting optimal scales ...
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What is band selection in hyperspectral image classification?
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Saliency-based visualization of hyperspectral satellite images using hierarchical fusion · Salient features extraction in hyperspectral images by hierarchical ...
This letter presents a band selection method relying on saliency bands and scale selection (SBSS). The SBSS method is used to excavate the hidden ...
Oct 22, 2024 · In this paper, we introduce a new band selection ap-proach for the color visualization of spectral images. Unlike traditional methods ...
Mar 15, 2024 · A novel hyperspectral band selection network is proposed for seed classification. Band attention and sparse constraint (SC) maximizes the removal of redundant ...
Nov 10, 2022 · This work proposes a multi-criteria-based band selection (MCBS) framework, which innovatively treats BS as a multi-criteria decision-making (MCDM) problem.
Dec 10, 2021 · The MVPCA technique [7] is a ranking-based approach that ranks the spectral bands according to their variances. A covariance matrix is first ...
This article proposes a similarity-based ranking (SR) strategy inspired by a density-based clustering algorithm and introduces structural similarity (SSIM) ...