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A Local Brightness Normalization (LBN) algorithm for destriping Hyperion images

DSpace at IIT Bombay

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Title A Local Brightness Normalization (LBN) algorithm for destriping Hyperion images
 
Creator PAL, MK
PORWAL, A
 
Subject HYPERSPECTRAL DATA
EO-1 HYPERION
REMOVAL
NOISE
WAVELET
 
Description A hybrid algorithm based on global moments matching and local brightness normalization is proposed for correcting vertical stripes in Hyperion images. Two types of vertical stripes are identified: (1) global stripes comprising entire columns of dark pixels with brightness values lower than the global brightness, and (2) local stripes comprising intermittent segments of pixels within a specific column that have lower brightness values compared with the local neighbourhood brightness. The proposed algorithm operates in four steps. First, a minimum noise fraction-transformation-based filtering is used to minimize spatially decorrelated noise. Then no-data pixels values are corrected. Next, global stripes are demarcated and corrected. Finally, local stripes are flagged and corrected. Applications of the proposed algorithm to two Hyperion datasets show significant reduction in vertical stripes.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2016-01-15T07:56:32Z
2016-01-15T07:56:32Z
2015
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF REMOTE SENSING, 36(10)2674-2696
0143-1161
1366-5901
http://dx.doi.org/10.1080/01431161.2015.1043761
http://dspace.library.iitb.ac.in/jspui/handle/100/18105
 
Language en