Landsat TM遥感影像中厚云和阴影去除

李炳燮; 马张宝; 齐清文; 刘高焕

doi:10.11834/jrs.20100311

技术方法 | 浏览量 : 0 下载量: 2672 CSCD: 23 更多指标

PDF
导出
分享
收藏
专辑

Landsat TM遥感影像中厚云和阴影去除
Cloud and shadow removal from Landsat TM data
2010年14卷第3期页码：534-545
纸质出版日期： 2010 ，
DOI： 10.11834/jrs.20100311

扫描看全文

[1]李炳燮,马张宝,齐清文,刘高焕.Landsat TM遥感影像中厚云和阴影去除[J].遥感学报,2010,14(03):534-545.

Cloud and shadow removal from Landsat TM data[J]. Journal of Remote Sensing, 2010,14(3):534-545.
[1]李炳燮,马张宝,齐清文,刘高焕.Landsat TM遥感影像中厚云和阴影去除[J].遥感学报,2010,14(03):534-545. DOI： 10.11834/jrs.20100311.

Cloud and shadow removal from Landsat TM data[J]. Journal of Remote Sensing, 2010,14(3):534-545. DOI： 10.11834/jrs.20100311.

摘要

提出了一种新的利用多时相LandsatTM影像数据进行的厚云及其阴影去除的方法。该方法通过分析厚云及其阴影的光谱特征

设计了厚云和云阴影识别模型。该算法的实现是采用图像配准技术、非监督分类、像元替换等运算

计算出厚云和云阴影区域的TM影像替换数据

进而得到消除或者减少云影响的TM遥感影像。试验结果表明本文提出的厚云及其阴影去除方法效果很好

能消除或者弱化云对TM影像数据的影响。

Abstract

Cloud removal is an important step in remote sensing image process.In this paper

the author proposed a new algorithm for cloud removal using multi-temporal Landsat TM image data based on spectral characteristics analysis.Through the spectral characteristics analysis of the thick cloud region and its shadow region

the thick cloud and its shadow identification models were designed.Using image regression

unsupervised classification and pixel replacing techniques as well as these models

the influence of thick clouds and its shadows can be eliminated or reduced in the Landsat TM images.The result shows that the algorithm can eliminate or significantly reduce the cloud influence from Landsat TM image data.