Proceedings Paper
A structured sub-pixel target detection method base on manifold learning method| Format | Member Price | Non-Member Price |
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Paper Abstract
The manifold learning theory is firstly used to transform the hyperspectral images into a low-dimension feature spaces.
The reconstruction error is computed to get discriminative information. Then a structured matched subspace detector is
developed. This method can effectively avoid the contamination by targets and spectral anomalies to backgrounds
subspace and detect sub-pixel targets with better performance than traditional methods.
Paper Details
Date Published: 8 December 2011
PDF: 6 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80020N (8 December 2011); doi: 10.1117/12.903203
Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 6 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80020N (8 December 2011); doi: 10.1117/12.903203
Show Author Affiliations
Tao Chen, China Univ. of Geosciences (China)
Ke Wu, China Univ. of Geosciences (China)
Ke Wu, China Univ. of Geosciences (China)
Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)
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