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基于矿山遥感调查与监测的要求,对目前广泛使用的国产资源3号卫星数据的处理方法进行了研究。通过OIF(最佳波段组合指数)值计算和波段间的相关性研究,得到R(B4)G(B3)B(B2)波段组合方案最有利于矿山开采边界的圈定和判断采面的开采状态。采用Gram-Schmidt、Pansharp、主成分分析和Brovey变换4种不同的融合方法对资源3号的多光谱影像和全色影像进行融合,从均值、信息熵、相关系数、平均梯度等指标对融合结果图像进行了定量评价,并结合矿山监测的具体内容,得到Gram-Schmidt融合法能最大程度地表现矿山各类开发用地细节及判断其开采状态。结果表明,资源3号数据可满足1:5万矿山遥感监测工作的要求。
Based on the requirements of remote sensing survey and monitoring of mines, the treatment methods of domestic resource No. 3 satellite, which is widely used nowadays, are studied. Through the OIF (band combination index) value calculation and the correlation between the bands, the banding scheme of R (B4) G (B3) B (B2) is the most favorable for the delineation of the mining boundary and the judgment of the mining face . Four different fusion methods of Gram-Schmidt, Pansharp, principal component analysis and Brovey transform were used to fuse the multi-spectral images and panchromatic images of resource No.3. The fusion results were obtained from the mean, entropy, correlation coefficient and average gradient The images were quantitatively evaluated. Combined with the content of mine monitoring, the Gram-Schmidt fusion method was able to display the details of all kinds of development sites and determine the mining status of the mine. The result shows that resource No.3 data can meet the requirement of 1: 50000 mine remote sensing monitoring work.