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Proceedings Paper

Spatial variability analysis to remote sensing image on different scales with wavelet variance
Author(s): Lingling Ma; Lingli Tang; Zhaoliang Li
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Paper Abstract

Nowadays, Remote sensing is widely applied into flood monitoring. In order to obtain the accurate flooded area, water body need be well segmented, however, image segmentation is still a hard problem. In fact, each image segmentation method has its advantages and disadvantages, single method is hard to acquire satisfactory results, so two or more methods combination are applied. In this paper, the algorithm of combination watershed transformation and region merging based on morphologic gradient is introduced and applied in a typical flooded region, Quyuan town of Hunan province of China to extract the area of target water bodies, at the same time, other segmentation methods: ISODATA and the combination segmentation methods of optimal threshold and mathematical morphology, are also applied. Finally, compared with actually measurement area of the target water body by Differential GPS, some suggestive conclusions are drawn.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864K (15 November 2007); doi: 10.1117/12.751626
Show Author Affiliations
Lingling Ma, Institute of Remote Sensing Applications (China)
Remote Sensing Satellite Ground Station (China)
Graduate School of Chinese Academy of Science (China)
Lingli Tang, Remote Sensing Satellite Ground Station (China)
Academy of Opto-Electronics (China)
Zhaoliang Li, Institute of Geographical Sciences and Natural Resources Research (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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