摘要
针对高山峡谷地区遥感图像变异较大的特点,通过分析高山峡谷区的光谱结构特征,利用比值植被指数RVI、归一化植被指数NDVI及数字高程模型DEM等数据资料,结合综合阈值法,设定合适的阈值,得到分类单体图的二值化图像,并最终在ArcGIS9.0平台上进行单体图像的合成与输出。与传统最大似然法的分类结果相比,该方法在一定程度上克服了“同物异谱”、“异谱同物”等现象对分类结果带来的影响,提高了高山峡谷区地表覆盖分类的精度,得到了试验区较为可靠的遥感分类图像。
On the base of image preprocessing and collection of auxiliary materials, a kind of automatic category method for the land utilization patterns is put forward. Base on the great variance of remote sensing images in the Alpine and Gorge Region, the structure feature among spectrum of the land-use is analyzed. After using the data of RVI, NDVI and DEM, the single binary image is obtained with a suitable threshold. By taking the software ArcGIS9. 0 as the platform, the single binary images are composed and exported . With this method, the influence by the same thing with different spectrums, different things with the same spectrum is greatly decreased. The experiment results show that the method is very simple and effective to the semi-automatic extraction of the Alpine and Gorge Region land-use, and far superior to the traditional maximum likelihood classification method.
出处
《遥感技术与应用》
CSCD
2007年第3期389-395,I0001,共8页
Remote Sensing Technology and Application
基金
四川省教育厅基金(2005A005)
四川省青年科技基金(04ZQ026-018)和ZH14302
关键词
ASTER
高山峡谷
自动分类
遥感
阚值
ASTER, Alpine and Gorge Region, Automatic classification, Remote Sensing, Threshold
