Paper
15 November 2007 Spatial variability analysis to remote sensing image on different scales with wavelet variance
Lingling Ma, Lingli Tang, Zhaoliang Li
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864K (2007) https://doi.org/10.1117/12.751626
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingling Ma, Lingli Tang, and Zhaoliang Li "Spatial variability analysis to remote sensing image on different scales with wavelet variance", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864K (15 November 2007); https://doi.org/10.1117/12.751626
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KEYWORDS
Wavelets

Remote sensing

Spatial resolution

Error analysis

Satellites

Wavelet transforms

Image segmentation

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