The goal of this paper is to study the effect of the training sample size on the performance of different strategies to select/extract informative spectral ...
Recently a number of successful algorithms to select/extract discriminative spectral regions was introduced. These methods may be more beneficial than the ...
Abstract. In the past few years a variety of successful algorithms to select/extract discriminative spectral bands was introduced. By exploiting the.
The goal of this paper is to study the effect of the training sample size on the performance of different strategies to select/extract informative spectral ...
Effectiveness of spectral band selection/extraction techniques for spectral data. Authors: Author Picture Marina Skurichina. Information and Communication ...
Effectiveness of spectral band selection/extraction techniques for spectral data. Author: SKURICHINA, Marina1 ; VERZAKOV, Sergey1 ; PACLIK, Pavel1 ; DUIN ...
Mar 21, 2022 · The selection of effective and representative spectral bands is extremely important in eliminating redundant information and reducing the ...
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Dec 10, 2021 · The hyperspectral image data spectral band values is down-selected using one of the four ... accuracy to the full hyperspectral image data matrix ...
Apr 20, 2024 · In this paper, an end-to-end trainable network framework that combines band selection, feature extraction, and model training was proposed based ...
In this study, a spatial–spectral combination method for hyperspectral band selection (SSCBS) is proposed to reduce information redundancy. First, the ...