NDLI: Haze Removal from the Visible Bands of CBERS Remote Sensing Data

Content Provider	IEEE Xplore Digital Library
Author	Xingping Wen Xiaofeng Yang
Copyright Year	2009
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.
Starting Page	118
Ending Page	121
File Size	3000050
Page Count	4
File Format	PDF
ISBN	9780769536187
DOI	10.1109/IIS.2009.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Multispectral imaging Clouds Atmospheric correction Linear regression Haze removal CBERS Data engineering Remote sensing HOT (Haze Optimized Transform) Image generation Radiometry Optical sensors Charge-coupled image sensors
Content Type	Text
Resource Type	Article

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