Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering

Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering

Band selection is an effective way to reduce redundant information, while preserving the physical properties of hyperspectral images (HSI). However, most band selection methods merely consider the relevance and separability between pairs of bands and ignore those for different ground objects. To sol...

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Bibliographic Details
Main Authors: Bing Han, Mingqing Liu, Zhenyu Ma, Ke Zhang, Yanke Xu, Jingyu Wang, Qi Wang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Remote Sensing
Subjects:
band selection
unique pixels
low-rank representation
spectral clustering
Online Access:https://www.mdpi.com/2072-4292/17/2/315
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