Noise estimation for remote sensing image data analysis

Qian Du

doi:10.1117/12.508101

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7 January 2004 Noise estimation for remote sensing image data analysis

Qian Du

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Proceedings Volume 5159, Imaging Spectrometry IX; (2004) https://doi.org/10.1117/12.508101
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

Noise estimation does not receive much attention in remote sensing society. It may be because normally noise is not large enough to impair image analysis result. Noise estimation is also very challenging due to the randomness nature of the noise (for random noise) and the difficulty of separating the noise component from the signal in each specific location. We review and propose seven different types of methods to estimate noise variance and noise covariance matrix in a remotely sensed image. In the experiment, it is demonstrated that a good noise estimate can improve the performance of an algorithm via noise whitening if this algorithm assumes white noise.

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Qian Du "Noise estimation for remote sensing image data analysis", Proc. SPIE 5159, Imaging Spectrometry IX, (7 January 2004); https://doi.org/10.1117/12.508101

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