中文摘要：

以IRS-P 6为遥感数据源,对湖北武汉地区进行了波段组合和遥感制图研究.采用统计分析的方法计算各波段的熵、标准差以及波段之间的相关系数矩阵,采用联合熵法和最佳指数法选择最佳波段组合方式,通过影像空间分辨率分析、基于像素级的分类精度评价和图斑面积解译精度检验三个方面评价了IRS-P 6影像的制图精度.结果表明：IRS-P 6影像各波段熵的大小顺序为：波段4〉波段5〉波段2〉波段3,标准差的大小顺序为：波段2〉波段4〉波段5〉波段3,最佳波段组合方式为：5（R）4（G）2（B）;采用最大似然监督分类方法进行分类的总体精度达93.50%,K appa系数达0.87;利用Q u ickB ird影像对IRS-P 6影像各地类图斑面积解译精度进行检验,总体精度达88.31%;IRS-P 6影像是遥感应用领域中5 m分辨率卫星数据的补充,适合于1∶2.5万、1∶5万等中等比例尺图件的制作.

英文摘要：

Quantitative analysis of every band of the data from remote sensing is the premise of image fusion. Lots of experiments on band combination and mapping were studied with IRS-P6 in Wuhan City, Hubei Province. Entropies, standard deviations, correlation coefficients between IRS-P6 bands, optimum band combination and mapping precision were all calculated and evaluated. The results show that band 4 is the biggest entropy followed by band 5, band 2 and band 3, and band 2 is the biggest standard deviation followed by band 4, band 5 and band 3; that the optimum band combination is 5（R）4（G）2（B）, ascertained by the associated method of entropy and optimum index factors.that the overall accuracy is 93. 5 %, ascertained by Maxi-like supervised classification interpretation method. and that Kappa coefficient is 0.87 and the accuracy of the detected patches is 88.31%. All these indicate that IRS-P6 is very effective in make a middle-scale map.