Abstract：In order to solve the problem of restoring missing information of mountain shadow on remote sensing images in peak cluster karst area,this paper took Guohua Ecological Experimental Area as the study area,which lies in Pingguo County of Guangxi. The spatial variability of digital number (DN) was analyzed by applying geostatistic method to the three bands,i.e., B3,B4 and B5. Then the DN values of the mountain shadow areas on the three bands were predicted and verified. The results indicate that the DN values of the these bands show strong spatial variability and spatial autocorrelation mainly from the impact of intrinsic factors,and their ranges are above 360 m. The correlation of values between validated values and restored values are extremely significant for each band, and the average relative errors are all lower than 0.2% with very high precision. The restoration of missing information of the mountain shadow on the remote sensing images in peak cluster depression areas provides a new idea and method for improving the accuracy of remote sensing interpretation of ecological environment monitoring of karst rocky desertification assessment in same areas.
杨奇勇, 马祖陆, 蒋忠诚, 罗为群, 谢运球. 峰丛洼地遥感图像山体阴影缺失的克里格修复[J]. 国土资源遥感, 2012, 24(4): 112-116.
YANG Qi-yong, MA Zu-lu, JIANG Zhong-cheng, LUO Wei-qun, XIE Yun-qiu. Restoration of Missing Information of Mountain Shadow on Remote Sensing Images in Peak Cluster Karst Area Based on Kriging. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 112-116.
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2012, Vol. 24 
