甘肃省文县地震前后TM图像增强处理方法比较分析
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摘要
在遥感图像处理软件ENVI的支持下,以甘肃省文县为研究区,分别计算了相关统计信息,利用相关系数矩阵、特征向量和特征值,按照最佳波段组合原则,对地震前后的TM图像进行了多种波段组合试验,并进行了比值分析。比较波段组合和比值法所得结果,可以看出以TM453的组合为基础,参考其他组合(如TM145,TM427和NDVIT、M5/TM3、TM4/TM3的组合)来增强图像信息,解译遥感图像的地物类型,分析比较震前震后的地物变化会得到较好的效果。
Under the support of remote sensing image processing software ENVI,with Wenxian of Gansu as the study area,the relevant statistical information was calculated resp.According to the principles of the best wave band combination,multiple wave band combination test was made on TM images before and after the earthquake by using correlation coefficient matrix,eigenvector and eigenvalue.And the ratio was analyzed.The comparison results of wave band combination and ratio method showed that better effects could be obtained with combination of TM453 as basis,referring with other combinations(such as TM145,TM427 and NDVI,TM5/TM3,TM4/TM3 combinations) to enhance the image information,interpret the ground object types of remote sensing image and analyze the ground object changes before and after the earthquake.
Under the support of remote sensing image processing software ENVI,with Wenxian of Gansu as the study area,the relevant statistical information was calculated resp.According to the principles of the best wave band combination,multiple wave band combination test was made on TM images before and after the earthquake by using correlation coefficient matrix,eigenvector and eigenvalue.And the ratio was analyzed.The comparison results of wave band combination and ratio method showed that better effects could be obtained with combination of TM453 as basis,referring with other combinations(such as TM145,TM427 and NDVI,TM5/TM3,TM4/TM3 combinations) to enhance the image information,interpret the ground object types of remote sensing image and analyze the ground object changes before and after the earthquake.
引文
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[2]姜小光,王长耀.成像光谱数据的光谱信息特点及最佳波段选择———以北京市顺义区为例[J].干旱区地理,2000,23(3):214-220.
[3]章孝灿,黄智才,赵元洪.遥感数字图像处理[M].杭州:浙江大学出版社,2003:174-175.
[4]杨燕琼.南方林区TM遥感图像组合方式研究[J].华南农业大学学报,1999,20(4):86-89.
[5]徐吉炎,许骏,刘振国.再生资源遥感研究[M].北京:科学出版社,1988.
[6]詹云军,彭华,刘星,等.古决口扇的TM影像弱信息提取技术[J].咸宁学院学报,2003,23(6):81-83.
[7]沙晋明,史舟,王人潮,等.东南山区土壤遥感监测的图像处理及分类[J].水土保持学报,2000,14(1):38-47.
[8]胡远安,程声通,贾海峰,等.利用TM图像逐级分类提取非点源信息[J].环境科学,2003,23(1):152-156.
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