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Robust registration of cloudy satellite images using two step segmentation

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I3E Technologies
I3E Technologies

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ROBUST REGISTRATION OF CLOUDY SATELLITE IMAGES USING TWO-STEP SEGMENTATION ABSTRACT In this letter, we propose an effective registrationmethod for cloudy satellite images based on global and localthresholds. First, cloud candidates are determined by using optimalthreshold and k-means clustering. Then, using the localthreshold, the cloud candidates are further classified into threecategories: thick clouds, thin clouds, and ground. Finally, accurateregistration is performed by eliminating features relating to cloudyareas. The experiments show that the proposed method providessegmentation accuracy of 93.29%. In addition, registration accuracyis improved by 24.83%, as compared with conventionalmethods.

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  • 1. ROBUST REGISTRATION OF CLOUDY SATELLITE IMAGES USING TWO-STEP SEGMENTATION ABSTRACT In this letter, we propose an effective registrationmethod for cloudy satellite images based on global and localthresholds. First, cloud candidates are determined by using optimalthreshold and k-means clustering. Then, using the localthreshold, the cloud candidates are further classified into threecategories: thick clouds, thin clouds, and ground. Finally, accurateregistration is performed by eliminating features relating to cloudyareas. The experiments show that the proposed method providessegmentation accuracy of 93.29%. In addition, registration accuracyis improved by 24.83%, as compared with conventionalmethods.