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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A New Index Model NDVI-MNDWI for Water Object Extraction in Hybrid Area
verfasst von : Weifeng Zhou, Zhanqiang Li, Shijian Ji, Chengjun Hua, Wei Fan
Erschienen in: Geo-Informatics in Resource Management and Sustainable Ecosystem
Verlag: Springer Berlin Heidelberg
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Extracting accurate water boundary plays a critical role in oceanography research. In this study, we tested several water extraction methods using CCD and IRS images from satellites HJ-1A and HJ-1B in Liaodong Bay that has miscellaneous topography structure. These tested methods are based on variant water indices, including NDVI, NDWI, and MNDWI. Moreover, we proposed a new water index NDVI-MNDWI as the fittest model for water object extraction in hybrid area. Relative to these traditional indices mentioned above, the new NDVI-MNDWI model can enhance the differentiation between land and water, and can decrease the interference of artificial objects as well. The experimental results show that the NDVI-MNDWI model can get accurate borders of water objects in hybrid regions.