Remote Sensing Image Data Enhancement Based on Robust Inverse Diffusion Equation for Agriculture Applications

摘要：

Remote sensing image data enhancement is a very important preprocessing step in imaging system for agriculture applications.In this paper,after demonstrating the equivalence of the sharpening by the Laplacian to inverse heat equation processing,a robust inverse diffusion equation is presented,which sharpens image details by a robust Laplacian.Image gradient magnitude is used to avoid the noise magnification.At the same time,the minmod function is used to control diffusion flux adaptively,which eliminates effectively overshoots inherent in the Laplacian.Experimental results demonstrate that this algorithm can enhance important details of image data effectively without overshoots,affording the opportunity for a good interpretation and subsequent processing.

作者: Shujun Fu Qiuqi Ruan Wenqia Wang

作者单位: School of Mathematics and System Sciences,Shandong University,Jinan 250100,China;Institute of Inform Institute of Information Science,Beijing Jiaotong University,Beijing 100044,China School of Mathematics and System Sciences,Shandong University,Jinan 250100,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）