Proceedings Paper
A cloud detection and removal method based on feature judgment in downward-looking infrared images| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
Focusing on downward-looking infrared cloud images, we propose a cloud detection and thin clouds removal algorithm
based on the feature judgement. This algorithm determines whether infrared image contains clouds or not by texture
feature extraction, segments the suspected cloud regions and determines the cloud region using a voting system based on
multi-feature quantitative analysis. Finally, we enhance image and remove the cloud interference using the combination
of space and frequency domain. Test results show this algorithm has good practicability and accuracy, which improves
the automation and intelligence of remote sensing information processing and application.
Paper Details
Date Published: 8 December 2011
PDF: 8 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030Y (8 December 2011); doi: 10.1117/12.901996
Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)
PDF: 8 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030Y (8 December 2011); doi: 10.1117/12.901996
Show Author Affiliations
Zhijun Li, National Univ. of Defense Technology (China)
Songlin Liu, National Univ. of Defense Technology (China)
Songlin Liu, National Univ. of Defense Technology (China)
Weihua Wang, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)
Zengping Chen, National Univ. of Defense Technology (China)
Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)
© SPIE. Terms of Use
