首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于LSMA的TM影像云和阴影的检测与去除方法
引用本文:郑文武,邓运员.基于LSMA的TM影像云和阴影的检测与去除方法[J].测绘科学,2010,35(3):62-65.
作者姓名:郑文武  邓运员
作者单位:中南大学,信息物理工程学院,长沙,410083;衡阳师范学院,资源环境与旅游管理系,湖南,衡阳,421008;衡阳师范学院,资源环境与旅游管理系,湖南,衡阳,421008
基金项目:基于多源遥感数据的衡阳盆地坡耕地土壤水分反演研究 
摘    要:云和阴影是影响遥感图像判读精度和可用性的主要因素,传统的辐射校正方法很难去除其影响,因此各种去云和阴影的方法应运而生,但在去除效果和实用性方面存在问题。去除云和阴影需以定量检测云和阴影为前提,因此通过分析TM影像中不同地物在不同波段的反射率差异,设计了一种基于动态端元选择的LSMA(线性光谱分解)算法,选择了云、绿色植被、阴影和不透水表面等4种端元,定量检测了云和阴影的分布,并以此为基础实现了对云和阴影的去除,通过处理前后影像的对比分析证明该方法是有效的。

关 键 词:LSMA  TM  去云和阴影

Detecting and removing cloud and shade on TM imagery based on LSMA
ZHENG Wen-wu,DENG Yun-yuan.Detecting and removing cloud and shade on TM imagery based on LSMA[J].Science of Surveying and Mapping,2010,35(3):62-65.
Authors:ZHENG Wen-wu  DENG Yun-yuan
Abstract:Cloud and shade are the major factors that influence the identification and usability of remote sensing images.Since it is difficult to eliminate the impact by using traditional method of radiometric rectification, there invented many new methods of removing the cloud and shade.However, there are still many problems in the aspects of quality and practicability.As known that the removing should be done on the premise of quantitatively determining the cloud and shade, this paper developed a new LSMA based on dynamic selection of end-member by analyzing the diversities among the reflectance of different objects on different bands of TM imagery.In the experiment, cloud, green vegetation, shade and impervious surface were selected as 4 end-members, then the distribution of cloud and shade was quantitatively determined , finally the cloud and shade was successfully removed.The method was validated by comparing the original and worked images.
Keywords:LSMA  TM  LSMA  TM  cloud and shade removing
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号