LandsatTM遥感影像中厚云和阴影如何去除.pdf

1007-4619 (2010) 03-534-12 Journal of Remote Sensing 遥感学报 Cloud and shadow removal from Landsat TM data 1, 2 1 1 1 RI Pyongsop , MA Zhangbao , QI Qingwen , LIU Gaohuan 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Institute of Remote Sensing and Geo-informatics, Pyongyang, Democratic People’s Republic of Korea Abstract: Cloud removal is an important step in remote sensing image process. In this paper, the author proposed a new algo- rithm 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. Key words: Landsat TM, image data, cloud and shadow, spectral analysis, cloud removal CLC number: TP751.1 Document code: A Citation format: RI Pyongsop, Ma Z B, Qi Q W and Liu G H. 2010. Cloud and shadow removal from LANDSAT TM data. Journal of Remote Sensing. 14(3): 534545 1 INTRODUCTION