Title :
Uneven cloud and fog removing for satellite remote sensing image
Author :
Zhou, Liya ; Qin, Zhiyuan
Author_Institution :
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
Abstract :
Haze is an important influence factor of visible light RS data´s obtaining and using. Based on dark channel prior and haze image model, this paper studies the dehaze technology from a single satellite RS image. Aim at the characteristic of uneven cloud in satellite RS image and the problem of the unreasonable estimate for airlight in dehaze method, this paper designed a new method for airlight computing, which did not reduce the image definition in clear area. This method joined the information of cloud density, and the result have no over processing and ill processing problem. At last, using medium-resolution image and high-resolution image to make system experiment, the result is effective.
Keywords :
clouds; fog; geophysical image processing; remote sensing; sunlight; airlight computing; cloud density; dark channel; dehaze technology; haze image model; high resolution image; image definition; medium resolution image; satellite remote sensing image; uneven cloud removal; uneven fog removal; visible light; Clouds; Digital images; Filtering; Helium; Medical services; Remote sensing; Satellites; Dark Channel Prior; Haze Image Model; Image Definition; Uneven Cloud and fog;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5988266