利用内蒙古大兴安岭北部4个林业局生长季和非生长季获取的Landsat-5 TM影像,对影像进行大气校正、几何校正、镶嵌和裁剪等预处理,通过统计分析准差、相关系数和OIF指数,对两期不同时相影像的最佳波段组合进行分析。结果表明:研究区TM影像生长季的最佳波段组合是345和234,非生长季的最佳波段组合是245,345和234。研究结果可为进一步应用TM影像进行森林资源信息提取提供参考。
Landsat-5 TM images of growing seasons and non-growing seasons for four forestry bureaux in northern Daxing'anling mountains of Inner Mongolia were used.Preprocessing of images including atmospheric correction,geometric correction,mosaic and cutting was conducted. Such jobs were also done as the statistical analysis of standard deviation,correlation coefficient and OIF index,analysis of the best band combination of two different date images.The results show that the best band combination of the study area TM images for the growing season is 345 and 234,the best band combination of non-growing season is 245,345 and 234.The results can be applied to use of TM images for forest resources information extraction.
[1]常胜.TM遥感影像彩色合成最佳波段组合研究——以恩施市土地利用遥感图制作为例[J].湖北民族学院学报.2010.28(2):230-236.
[2]戴昌达,雷莉萍.TM图像的光谱信息特征与最佳波段组合[J].环境遥感,1989,4(4):282-292.
[3]张韬,赵宇飞,安慧君,等.ETM+影像提取伏沙地信息的最佳波段组合——以内蒙古锡林郭勒盟西乌旗为例[J].科技导报,2011,29(19):29-33.
[4]刘建平,赵时英.高光谱遥感数据解译的最佳波段选择方法研究[J].中国科学院研究生院学报,1999,16(2):153-161.
[5]领梅,安慧君,贺晓辉,等.ALOS、TM影像在土地利用中的最佳波段组合分析[J].内蒙古林业科技,2013,39(2):36-39.
[6]胡杰华.基于TM影像的武功县土地利用变化监测研究[D].咸阳:西北农林科技大学,2012.
[7]刘同海.TM数据草原沙漠化信息提取研究[D].呼和浩特:中国农业科学院草原研究所,2005.
