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.

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)