The effect of spatial resolution on the noise estimation in hyperspectral images

Wenfei Luo; Liang Zhong

doi:10.1117/12.831391

30 October 2009 The effect of spatial resolution on the noise estimation in hyperspectral images

Wenfei Luo, Liang Zhong

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 749429 (2009) https://doi.org/10.1117/12.831391
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Wenfei Luo and Liang Zhong "The effect of spatial resolution on the noise estimation in hyperspectral images", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749429 (30 October 2009); https://doi.org/10.1117/12.831391

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