Water body extraction in urban region from high resolution satellite imagery with near-infrared spectral analysis

Lingli Zhao; Hongjing Yu; Lijuan Zhang

doi:10.1117/12.835008

4 August 2009 Water body extraction in urban region from high resolution satellite imagery with near-infrared spectral analysis

Lingli Zhao, Hongjing Yu, Lijuan Zhang

Author Affiliations +

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73833I (2009) https://doi.org/10.1117/12.835008
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

Water body information is very important for urban planning and environment improving. Extracting water body information from the satellite images such as MODIS images, Spot images, Radarsat SAR images and LANDSAT TM images has been explored by some researchers. However, extracting water body information from high resolution satellite images is still a problem because of the shade effect of buildings in urban area. The color of the calm water surface is similar to the shadows and it is difficult to distinguish between water body and shadows from satellite imagery. With Near-Infrared Spectral Analysis of IKONOS imagery, we present a new method to extract water body and make distinctions between the water body and the shadows. We employ existing knowledge for extracting water body information by image analysis at first, then the dark objects is extracted by a object-oriented operation from the high resolution satellite image. Near-infrared spectral analysis is developed to remove the building shadows from the dark objects extracted. Two NIR indexes are combined to remove the shadows. The experiments show that the main water body, such as artificial lake and rivers can be extracted effectively from IKONOS imagery with the method presented in this paper.

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Lingli Zhao, Hongjing Yu, and Lijuan Zhang "Water body extraction in urban region from high resolution satellite imagery with near-infrared spectral analysis", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73833I (4 August 2009); https://doi.org/10.1117/12.835008

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