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The corrected image shows that this approach can highlight the target pixels by suppressing the clutter and noise pixels.
Open accessProceedings ArticleDOI
10 Jun 2013
17 Citations
Assuming that closer pixels are more important, the algorithm can focus on removing distant pixels first.
By taking neighbouring pixels into consideration, extreme “noisy” pixels can be replaced.
Proceedings ArticleDOI
Jun Fu, Wenbo Ji, Xuanqin Mou 
4 Citations
This paper proposes a novel method to correct saturated pixels in images.
This overlap precludes the existence of a threshold that can correctly separate all clear pixels from cloudy pixels.
The experimental results demonstrate that this novel approaches can decompose mixed pixels more accurately regardless of how much the endmember overlaps.
In comparison with previously suggested approaches, the ratio method has the capability to increase the “harvest” of clear pixels.
Comparisons with other cloud masks indicate comparable performance for the determination of clear pixels.
Furthermore, the proposed method reduces the probability of detecting noise-free pixels as noisy pixels and vice versa.

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