Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging

标题
Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging
作者
关键词
-
出版物
PATTERN RECOGNITION
Volume 77, Issue -, Pages 316-328
出版商
Elsevier BV
发表日期
2017-10-13
DOI
10.1016/j.patcog.2017.10.008

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