Nov 5, 2008 · Band selection is a common approach to reduce the data dimensionality of hyperspectral imagery. It extracts several bands of importance in ...
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Oct 22, 2024 · Band selection is a common approach to reduce the data dimensionality of hyperspectral imagery. It extracts several bands of importance in ...
In this paper, an unsupervised band selection method based on band similarity is proposed for hyperspectral image target detection. Several selected pixels ...
In this paper, we propose unsupervised band selection algorithms based on band similarity measurement. The preliminary result shows that our approach can ...
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When the desired object information is unknown, i.e., unsupervised band selection, the objective is to select the most distinctive and in- formative bands. It ...
In this paper, an unsupervised band selection method based on band similarity is proposed for hyperspectral image target detection. Several selected pixels are ...
[PDF] Similarity-Based Unsupervised Band Selection for ...
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An improved band similarity-based band selection method is proposed for hyperspectral imagery target detection that can yield a better result in target ...
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This paper presents a novel unsupervised HSI band selection method via band grouping and adaptive multi-graph constraint.
Based on the selection algorithm ABS and JSKF, a novel bands selection method NIA is proposed in this paper. Firstly, the ABS and JSKF algorithms are introduced ...
Feb 20, 2018 · In this paper, we present a novel learning framework for band selection based on the idea of sparse representation. More specifically, first ...