Inhomogeneous cloud removing from remote sensing image
Cloud is the common phenomenon in the obtaining and application of the visible-light remote sensing image, and these images are usually degraded by the turbid medium (e.g., fog, cloud) in the atmosphere. This article researched the defogging techniques of the single satellite remote sensing image on the basis of the dark channel prior and the imaging model of the cloud images, and proposed a new approach to calculate the airlight in view of problems of asymmetric thickness of cloud in the satellite remote sensing images and unreasonable estimation of the airlight in the existing defogging algorithms. In my approach, cloud thickness information was added to effectively avoid the phenomenon of ‘over-treatment’ and ‘under-treatment’. Finally, the feature of scientific and effective were validated by the successful testament of respectively using medium-resolution and high-resolution satellite remote sensing data.
dark channel prior imaging model uneven cloud image sharpness
Liya Zhou Zhiyuan Qin Qing Lin Wei Shang
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, China; Information Engineering University, Zhengzhou, China
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）