Tailings Reservoir Recognition Factors of the High Resolution Remote Sensing Image in Southeastern Hubei
HAO Li-na1,2, ZHANG Zhi2, HE Wen-xi2, CHEN Teng2
1. Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China; 2. Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China
Abstract：Tailings with the characteristics of very small particles determine their high reflectivity of each band in remote sensing images. The accumulation process of the tailings determines their unique surface texture, including parallel zoning texture features and radial texture features. The authors mainly studied spectral features, texture features and some other features such as roads, mine buildings, reservoirs distribution and their geographical position which are associated with the tailings reservoir, and established the comprehensive recognition factors of the tailings reservoir in high resolution remote sensing image in this paper. On the basis of these factors, the tailings reservoirs can be identified and their scales can be preliminary determined from WorldView-2 images.
郝利娜, 张志, 何文熹, 陈腾. 鄂东南尾矿库高分辨率遥感图像识别因子研究[J]. 国土资源遥感, 2012, 24(3): 154-158.
HAO Li-na, ZHANG Zhi, HE Wen-xi, CHEN Teng. Tailings Reservoir Recognition Factors of the High Resolution Remote Sensing Image in Southeastern Hubei. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 154-158.
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2012, Vol. 24 
