Title :
Haze Removal from the Visible Bands of CBERS Remote Sensing Data
Author :
Wen, Xingping ; Yang, Xiaofeng
Author_Institution :
Fac. of Land Resource Eng., Kunming Univ. of Sci. & Technol. Kunming, Kunming, China
Abstract :
Remote sensing images can widely used in many scientific research fields for its ability of detecting large area simultaneously and quickly. However, persistent cloud and haze region effect on their use. This paper used haze optimized transformation (HOT) transformation to remove haze region from CBERS remote sensing data. Band 1 and band 3 of CBERS image are selected to generate HOT image using linear regression, then HOT image was applied for the image to remove the radiometric effects of the haze. Comparing the result before and after haze removal, the image after processed is clearer than before. HOT transformation is a robust haze removal algorithm. It is also suitable for CBERS remote sensing data. Haze removal can improve evaluation of remote sensing data, especially for multi-spectral images.
Keywords :
atmospheric humidity; clouds; fog; image processing; optimisation; radiometry; remote sensing; CBERS image; China; China-Brazil Earth Resources Satellite; HOT transformation; Yunnan province; cloud; haze optimized transformation; haze region; image processing; linear regression; multi-spectral image; radiometric effect; remote sensing image; Charge coupled devices; Charge-coupled image sensors; Clouds; Data engineering; Image generation; Linear regression; Multispectral imaging; Optical sensors; Radiometry; Remote sensing; CBERS; HOT (Haze Optimized Transform); atmospheric correction; haze removal; remote sensing;
Conference_Titel :
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-3618-7
DOI :
10.1109/IIS.2009.58
