Abstract
Due to the significantly effect of clouds in the near-earth space environment to remote sensing satellite images, some satellite images can not be utilized normally, resulting in large limitation of their application fields. For the background suppressed haze thickness index (BSHTI) and improvement background suppressed haze thickness index (IBSHTI) have the characteristics of thoroughly cloud correction and badly deficiency of the tone and texture information, we propose to first adopt IBSHTI to calculate the cloud thickness image of different bands, then the dark-pixel images are obtained by down sampling, and the texture is eliminated by introducing Texture and edge information (TEI). Experiment results show that our method can well retain the ground tone and texture information while removing the effect of clouds, especially in urban areas.
Highlights
The interference of clouds largely reduces the available area of satellite images, which will hinder the real-time update of map structure data badly
Related experiments show that the algorithms of background suppressed haze thickness index (BSHTI) and improvement background suppressed haze thickness index (IBSHTI) can relatively completely rectify cloud and haze, while the defects are darker tonality and fewer texture details
Features cannot be effectively distinguished, and the algorithm in the paper can restore the real surface features better. Because this method is optimized on the basis of BSHTI and IBSHTI, the correction effect has a certain constraints, which the tone of the image has an improvement in total, but is not obvious
Summary
The interference of clouds largely reduces the available area of satellite images, which will hinder the real-time update of map structure data badly. The research of cloud eliminating problem plays a crucial role in image correction. There are many cloud eliminating algorithms based on spatial, among them are darkobject subtraction (DOS) (Chavez, 1988)and dark channel prior method(He,2011)(Lan, 2013), they separate the effect mainly caused by clouds by detecting the pixels with zero surface reflectance rate or zero radiation rate on the original image. Through introducing the near infrared wave band, IBSHTI algorithm can obtain the cloud thickness image basing on the near infrared wave and visible band together, the image tone and texture information are both improved. The image tone deviation and texture deficiency problem are still existed in satellite images obtained from different sensors, what’s more, the deficiency of roof colour information is more obvious when the building is in blue or red colour
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