17 October 2013 A spectral water index based on visual bands
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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.
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Essa Basaeed, Harish Bhaskar, Mohammed Al-Mualla, "A spectral water index based on visual bands", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 889219 (17 October 2013); doi: 10.1117/12.2028638; https://doi.org/10.1117/12.2028638
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