阈值分割和数学形态学在遥感图像边缘提取中的应用  

Application of Threshold Segmentation and Mathematical Morphology to Edge Detection of Remote Sensing Image in the Ulan Buh Desert

作　　者：王鹤智[1] 刘兆刚[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《森林工程》2009年第2期9-12,共4页Forest Engineering

基　　金：国家自然科学基金国际合作项目(30510103195);国家社会公益研究专项资金项目(2005DIB5J142)

摘　　要：以乌兰布和沙漠的航空遥感图像为基础,对其阈值分割,并选取适当的结构元素进行数学形态学的运算,从而达到对遥感图像边缘提取的目的。利用Matlab 7.0软件对研究区域进行图像处理分析,通过提取的边缘和原始图像对比,验证其方法的可行性和有效性,为乌兰布和沙漠地区具有代表性的稀少且呈群团状大样地植被调查提供技术参考。Based on the airborne remote sensing image in Ulan Buh Desert, the threshold was segmented and the appropriate structuring elements were selected to conduct mathematical morphology calculation so as to finish edge detection from the remote sensing image. The image processing and analysis in the study region by using Matlab 7.0 were conducted and through contrasting the edge detection and original image, feasibility and effectiveness were verified to provide technical reference to investigate scarce and mass-like vegetation in the Ulan Buh Desert.

关 键 词：阈值分割 数学形态学 遥感图像 边缘提取 

分 类 号：S758[农业科学—森林经理学]