Abstract
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.
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References
Fan, D.K., Li, M., He, S.M.: Comparison and Research on Different Indices for Water Extraction Based on CCD Images from HJ Satellite. Geography and Geo-Information Science 28(2), 14–19 (2012)
Chen, S.H., Liu, Z.H., Liu, X., Ni, J.S.: Information Extraction of Water in Nanjing based on TM Data. Journal of Anhui Agri. 39(11), 6863–6865 (2011)
Jiang, C.Y., Li, M.C., Liu, Y.X.: Full-automatic Method for Coastal Water Information Extraction from Remote Sensing Image. Science of Surveying and Mapping 40(3), 332–337 (2011)
Han, D., Yang, X.M., Ji, K.: The research on the method of automatically extracting water body information from small satellite images. Science of Surveying and Mapping 33(1), 51–54 (2008)
Chen, J.B., Liu, S.X., Wang, C.Y.: Research on Urban Water Body Extraction Using Knowledge-based Decision Tree. Journal of Remote Sensing 28(1), 29–37 (2013)
Mei, A.X., Peng, W.L., Qin, Q.M.: An Introduction to Remote Sensing. Higher Education Press (HEP), Beijing (2001)
Ling, C.X., Zhang, H.Q., Lin, H.: Research on Extracting Coastal Wetlands Water Information Using Composition (CIWI) Water Index. Resources and Environment in the Yangtze Basin 9(2), 152–157 (2010)
Ding, F.: A New Method for Fast Information Extraction of Water Bodies Using Remotely Sensed Data. Remote Sensing Technology and Application. 24(2), 167–171 (2009)
Xu, H.Q.: A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index (MNDWI). Journal of Remote Sensing 9(5), 589–595 (2005)
El-Asmar, H.M., Hereher, M.E.: Change Detection of the Coastal Zone East of the Nile Delta Using Remote Sensing. Environmental Earth Sciences 62(4), 769–777 (2011)
Cheng, Q., Luo, J.C., Sheng, Y.W., Shen, Z.F., Zhu, Z.W., Ming, D.P.: An Adaptive Water Extraction Method from Remote Sensing Image Based on NDWI. Journal of the Indian Society of Remote Sensing 40(3), 421–433 (2012)
Lu, S.L., Wu, B.F., Yan, N.N., Wang, H.: Water Body Mapping Method with HJ-1A/B Satellite Imagery. International Journal of Applied Earth Observations and Geo-Information 13(3), 428–434 (2011)
Shanlong, L., Bingfang, W., Nana, Y., Hao, W.: Water body mapping method with HJ-1A/B satellite imagery. International Journal of Applied Earth Observation and Geo-Information, 428–434 (2011)
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Zhou, W., Li, Z., Ji, S., Hua, C., Fan, W. (2015). A New Index Model NDVI-MNDWI for Water Object Extraction in Hybrid Area. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_51
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DOI: https://doi.org/10.1007/978-3-662-45737-5_51
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