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鄂东南尾矿库高分辨率遥感图像识别因子研究 被引量:27

Tailings Reservoir Recognition Factors of the High Resolution Remote Sensing Image in Southeastern Hubei
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摘要 正在使用的尾矿库中,尾砂的极细小颗粒特征决定了其在各波段遥感图像上具有较高反射率的光谱特征;尾砂的堆积过程则同时决定了尾矿库表面具有大致平行的分带纹理和放射状纹理特征。从尾砂的光谱、纹理特征以及与尾矿库相关的其他因素(道路、矿山建筑、尾矿库地理位置等)出发,系统建立了鄂东南地区金属矿山尾矿库的高分辨率遥感图像的综合识别标志。依据所建立的综合识别标志,可从WorldView-2图像中准确地识别尾矿库,并初步判断其规模。 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 railings 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.
出处 《国土资源遥感》 CSCD 北大核心 2012年第3期154-158,共5页 Remote Sensing for Land & Resources
基金 湖北省重点矿集区矿山开发遥感调查与监测项目(编号:1212011120022)资助
关键词 尾矿库 光谱特征 纹理特征 WorldView-2 tailing reservoir spectral feature texture feature WorldView - 2
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