Research Papers

Analysis of a shallow water environment by multispectral satellite images using a subpixel classification algorithm

[+] Author Affiliations
Hung Ming Kao

Institute of Applied Geosciences, National Taiwan Ocean University, No. 2, Pei-Ning Road, Keelung, Taiwan 20224 Taiwan

Hsuan Ren

Center for Space and Remote Sensing Research, National Central University, No.300, Jhongda Road, Jhongli City, Taoyuan, Taiwan 32001 Taiwan

Chao Shing Lee

Institute of Applied Geosciences, National Taiwan Ocean University, No. 2, Pei-Ning Road, Keelung, Taiwan 20224 Taiwan

J. Appl. Remote Sens. 2(1), 023536 (September 4, 2008). doi:10.1117/1.2988714
History: Received May 14, 2008; Revised August 24, 2008; Accepted August 27, 2008; September 4, 2008; Online September 04, 2008
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Abstract

Optical satellite images observed in shallow water represent a mixture of information concerning bottom type, water quality, and water depth. In this study, we extracted such information by estimating the abundance using the mixed pixel classification technique. The method is based on the Orthogonal Subspace Projection algorithm which can first eliminate unwanted information, and then match for the information in which we are interested in. Our results indicated that using the subpixel classification approach, information correlated with water depth can be extracted from optical multi-spectral images. To further test this approach, we used satellite images of Itu-Aba Island in the southern part of the South China Sea as a test image and compared with truth depth data from echo sounder sonar system for verification. The results were promising and showed that the information extracted from the satellite image corresponding to bathymetry was highly correlated to the true water depth.

© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Hung Ming Kao ; Hsuan Ren and Chao Shing Lee
"Analysis of a shallow water environment by multispectral satellite images using a subpixel classification algorithm", J. Appl. Remote Sens. 2(1), 023536 (September 4, 2008). ; http://dx.doi.org/10.1117/1.2988714


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