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《Journal of Zhejiang University(Engineering Science)》 2006-01
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Automatic detection and removal of thin haze based on own features of Landsat image

LI Cun-jun~(1,2),LIU Liang-yun~2,WANG Ji-hua~2,SONG Xiao-yu~2,WANG Ren-chao~1(1.Institute of Agriculture Remote Sensing and Information Application,Zhejiang University,Hangzhou 310029,China; 2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100089,China)  
To remove the haze from Landsat images and restore the information on objects in haze region,the Landsat image features were used to ascertain the clear line according to the high correlation between band 1 and band 3 of Landsat image in the clear region,then the deviation distance from the clear line was calculated by the modified algorithm of haze optimized transformation(HOT),and the haze was detected according to HOT value.The haze images were classified by the HOT value to represent the haze thickness,then the Landsat image in haze region and clear region was automatically classified using just one near-infrared band and two shortwave-infrared bands.The image in the haze region of visible bands was matched to the image in the clear region according to the haze class and object classification to remove the effect of the haze.Experimental results show that the haze detection is rapid and accurate,and that the thin haze is removed effectively.
【Fund】: 国家“863”高科技研究发展计划资助项目(2003AA209040)
【CateGory Index】: TP751
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