遥感影像在多项领域中得到广泛使用,随着空间分辨率逐渐提高,影像中的阴影导致区域信息部分丢失问题更加明显,影响影像质量。针对海量数据,如何检测并有效处理信息缺失问题对遥感影像应用是有重要价值的。为了全面掌握石漠化空间分布特征,解决遥感影像阴影区域信息缺失问题,以喀斯特石漠化地区为研究对象,借助图像处理软件,提出石漠化知识,并在GIS技术下,分析空间变异性特征。研究表明,区域石漠化是指受到多种因素的影响,Krifing插值表明研究区西南部沙漠化最高。研究借助图像处理软件为区域石漠化监控评估提供了新的方法。
The remote sensing image has been widely used in various fields,and with the gradual increasing of spatial resolution,the part information missing problem caused by the shadow area in image becomes more obvious,which affects on the image quality. For the massive data,the way how to detect and effectively deal with the information missing problem has significant value in the application of remote sensing image. To fully grasp the spatial distribution characteristics of the stony desertification,and solve the information missing problem caused by shadow area in remote sensing image,the Karst stony desertification area is taken as the research object,and the stony desertification knowledge is proposed by means of image processing software. The feature of spatial variability is analyzed with GIS technology. The research results show that the stony desertification refers to the influence of various factors. Krifing interpolation shows that the highest stony desertification area is in southwest of the researched area. The research provides a new method for assessment and monitoring of the stony desertification area by means of image processing software.