Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery

Owing to easy acquisition and large coverage from the space, multispectral (MS) imaging has garnered growing interest in various applications of remote sensing. However, the limited spectral information of MS data, to a great extent, leads to difficulties in classifying the materials more accurately...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 19; S. 1 - 5
Hauptverfasser:	Hong, Danfeng, Wu, Xin, Gao, Lianru, Zhang, Bing, Chanussot, Jocelyn
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Coding Constraints Hyperspectral (HS) Hyperspectral imaging Image coding Image enhancement Image reconstruction Imagery locality multispectral (MS) Optimization partially Performance assessment Remote sensing remote sensing (RS) Signal resolution sparse coding Spatial resolution Spectra spectral enhancement Spectral resolution Task analysis
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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