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

Pal, Mahendra K and Porwal, Alok (2015) A Local Brightness Normalization (LBN) algorithm for destriping Hyperion images. International Journal of Remote Sensing, 36 10: 2674-2696. doi:10.1080/01431161.2015.1043761

Author Pal, Mahendra K
Porwal, Alok
Title A Local Brightness Normalization (LBN) algorithm for destriping Hyperion images
Journal name International Journal of Remote Sensing   Check publisher's open access policy
ISSN 1366-5901
Publication date 2015-05-18
Year available 2015
Sub-type Article (original research)
DOI 10.1080/01431161.2015.1043761
Open Access Status Not yet assessed
Volume 36
Issue 10
Start page 2674
End page 2696
Total pages 23
Place of publication Abingdon, Oxfordshire, United Kingdom
Publisher Taylor and Francis
Collection year 2016
Language eng
Abstract 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.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: W.H. Bryan Mining Geology Research Centre
Official 2016 Collection
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
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