摘要
在地形起伏较大的地区获取遥感影像时,由于地形效应的存在,阴影的产生几乎是不可避免的。为此,对多光谱图像进行波段比值处理,减弱或者消除地形阴影的影响,提高遥感影像的识别与分类精度,并对处理后的图像进行质量评价,为选择最佳处理方法提供参考。结合数字高程模型(DEM)对山区遥感图像进行分区,对分区结果进行各种波段比值运算,消除地形阴影;以信息熵作为质量评价指标,对比值处理消除地形阴影后的结果进行定量分析,研究处理结果与所选比值处理方法之间的联系。结果表明,波段比值处理可以减弱或者消除地形阴影的影响,与单波段比值处理和线性波段比值处理相比,非线性波段比值处理后图像的信息熵增强最大。
When acquiring remote sensing images in greatly undulate terrain, terrain shadow of the images is almost inevitable due tothe topographic effect. Therefore, the multi？spectral image is processed by band ratio to weaken or eliminate the effect of topographicshadowing, and improve the accuracy of recognition and classification of remote sensing images. Then the processed image is evaluatedto provide reference for the selection of the best treatment method. In this paper, remote sensing image is partitioned based on DEM ofmountains, and then band ratio operation is used to eliminate the shadow of the terrain. Afterwards, the information entropy is regardedas a quality index to quantitatively analyze the efficiency of the ratio treatment of shadow elimination, and to study the correlation between acquired results and the selected ratio processing method. The experimental results show that the band ratio processing may weak？en or eliminate the effect of terrain shadow. Compared to single band ratio and linear band ratio, the nonlinear band ratio processingcould produce images with the greatest information entropy enhancement.
作者
邓佳音
陈建平
Deng Jiayin;Chen Jianping(School of Earth Sciences and Resources,China University of Geosciences（Beijing）,Beijing 100083,China;The Beijing Key Laboratory of Development and Research for Land Resources Information,Beijing 100083,China)
出处
《地质学刊》
CAS
2018年第3期501-506,共6页
Journal of Geology
基金
中国地质调查局项目"深部成矿地质异常定量预测方法与模型"(2017YFC0601502)
关键词
遥感影像
地形阴影
波段比值
信息熵
定量分析
内蒙古
remote sensing image
shadow of terrain
band ratio
information entropy
quantitative analysis
Inner Mongolia
