Paper
15 November 2007 Automatic extraction of water body based on EOS/MODIS remotely sensed imagery
Qiuwen Zhang, Cheng Wang, Fumio Shinohara
Author Affiliations +
Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678642 (2007) https://doi.org/10.1117/12.750750
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
As a new type of remotely sensed resources, EOS/MODIS imagery has moderate spatial resolution, high temporal resolution and high spectral resolution. Based on the spectral character analyses of water body in EOS/MODIS images, this paper proposes models of water body extraction from EOS/MODIS remotely sensed imagery. It shows that the spectral differences between water body and other targets in a single channel of EOS/MODIS image are not very clear; however, their spectral relationship differences between different channels of EOS/MODIS images are obvious. Water body can be segmented and extracted by the criteria of NDWI<-0.1 or NDVI<0.04 & (CH4-CH5)>2.0. The precisions of water body extraction with the established models are up to 90%.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiuwen Zhang, Cheng Wang, and Fumio Shinohara "Automatic extraction of water body based on EOS/MODIS remotely sensed imagery", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678642 (15 November 2007); https://doi.org/10.1117/12.750750
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Clouds

Floods

Reflectivity

Image segmentation

Spatial resolution

Spectral resolution

Temporal resolution

Back to Top