Inhomogeneous cloud removing from remote sensing image

Liya Zhou; Qing Lin

doi:10.1117/12.900315

23 November 2011 Inhomogeneous cloud removing from remote sensing image

Liya Zhou, Qing Lin

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80060I (2011) https://doi.org/10.1117/12.900315
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

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.

Citation Download Citation

Liya Zhou and Qing Lin "Inhomogeneous cloud removing from remote sensing image", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060I (23 November 2011); https://doi.org/10.1117/12.900315

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