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Proceedings Paper

A spectral water index based on visual bands
Author(s): Essa Basaeed; Harish Bhaskar; Mohammed Al-Mualla
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Paper Abstract

Land-water segmentation is an important preprocessing step in a number of remote sensing applications such as target detection, environmental monitoring, and map updating. A Normalized Optical Water Index (NOWI) is proposed to accurately discriminate between land and water regions in multi-spectral satellite imagery data from DubaiSat-1. NOWI exploits the spectral characteristics of water content (using visible bands) and uses a non-linear normalization procedure that renders strong emphasize on small changes in lower brightness values whilst guaranteeing that the segmentation process remains image-independent. The NOWI representation is validated through systematic experiments, evaluated using robust metrics, and compared against various supervised classification algorithms. Analysis has indicated that NOWI has the advantages that it: a) is a pixel-based method that requires no global knowledge of the scene under investigation, b) can be easily implemented in parallel processing, c) is image-independent and requires no training, d) works in different environmental conditions, e) provides high accuracy and efficiency, and f) works directly on the input image without any form of pre-processing.

Paper Details

Date Published: 17 October 2013
PDF: 10 pages
Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 889219 (17 October 2013); doi: 10.1117/12.2028638
Show Author Affiliations
Essa Basaeed, Khalifa Univ. of Science, Technology, and Research (United Arab Emirates)
Harish Bhaskar, Khalifa Univ. of Science, Technology, and Research (United Arab Emirates)
Mohammed Al-Mualla, Khalifa Univ. of Science, Technology, and Research (United Arab Emirates)


Published in SPIE Proceedings Vol. 8892:
Image and Signal Processing for Remote Sensing XIX
Lorenzo Bruzzone, Editor(s)

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