
Proceedings Paper
The effect of spatial resolution on the noise estimation in hyperspectral imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
Noise estimation is an important task in hyperspectral remote sensing image process. However, hyperspectral image has
limitation on spatial resolution. Usually, More than one type of materials are embedded in ground sampling
distance(GSD) of the image. Therefore, this paper focuses on the evaluation on the effect of spatial resolution on noise
estimation. A series of simulative images with different spatial resolution levels are generated for the evaluation. Noise
standard deviation, the normalized eigenvalues of minimum noise fraction (MNF) transformation and the endmember
extraction accuracy are used to evaluate the noise estimation methods. In experiments, the results demonstrate that the
methods who estimate noise in spectral domain have robust stability of spatial resolution and perform better in low
spatial resolution levels.
Paper Details
Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749429 (30 October 2009); doi: 10.1117/12.831391
Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749429 (30 October 2009); doi: 10.1117/12.831391
Show Author Affiliations
Wenfei Luo, South China Normal Univ. (China)
Liang Zhong, Institute of Remote Sensing Applications, CAS (China)
Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)
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