基于改进爬峰法高分辨率遥感影像分割的树冠提取  

Tree Crown Extraction Based on Segmentation of High-resolution Remote Sensing Image Improved Peak-climbing Algorithm

作　　者：张凝[1] 张晓丽[1] 叶栗 

机构地区：[1]北京林业大学林学院,北京100083

出　　处：《农业机械学报》2014年第12期294-300,共7页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家高技术发展研究计划(863计划)资助项目(2012AA102001-5)

摘　　要：对现有爬峰法利用高分辨率遥感影像分割进行树冠提取时存在的问题进行直方图压缩和基于类的二次合并两方面的改进,并将改进后的爬峰法在Matlab平台上模拟实现。以Quick Bird影像为基础数据源提取单木树冠,分析树冠面积提取精度,验证改进爬峰法对高分遥感影像树冠分割的可靠性。研究结果表明:实验样本精度均达到85%以上,与传统目视解译精度比较相差较少,满足应用需求。The peak-climbing algorithm in two aspects histogram compression and the two merging based on class when it is applied to high-resolution image segmentation to achieve the tree crown extraction improved peak-climbing algorithm was simulation with programing on Matlab. In order to verify the reliability of the peak-climbing algorithm on high-resolution image tree crown segmentation,Quick Bird image to extract individual tree crown and analyze the precision of its area. The study result that the test sample accuracy could more than 85% using the improved and no much differences comparing with the visual interpretation. Thus this improved peak-climbing algorithm meets the application requirements.

关 键 词：遥感影像 爬峰法 高分辨率遥感影像 图像分割 树冠提取 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]