A new cloud removal algorithm for multi-spectral images

Zhangye Wang; Jianqiu Jin; Junwen Liang; Ke Yan; Qunsheng Peng

doi:10.1117/12.654869

3 November 2005 A new cloud removal algorithm for multi-spectral images

Zhangye Wang, Jianqiu Jin, Junwen Liang, Ke Yan, Qunsheng Peng

Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430W (2005) https://doi.org/10.1117/12.654869
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Multi-spectral images acquired by different image sensors from satellites or aircrafts are often covered with cloud under bad weather condition. In this paper, we propose a new cloud removal method to restore the cloud-covered area of multi-spectral images using only a couple of multi-spectral images taken of the same scene. In our algorithm, we take the registered visual and infrared images as an example. We first de-noise the two images with the method of Wiener Filter to wipe off the primary noise. As the infrared imaging has more powerful ability of penetrating through cloud than the visual image, we adopt the method of Poisson Matting to exactly segment the edge of area covered by infrared cloud and use wavelet analyzing to restore the area originally occupied by infrared cloud. Then a B-spline based model is hired to repair the residual holes. For the corresponding visual image of the same scene by taking the spacial correlation between the two multi-spectral images, the location of targets under visual cloud is reconstructed and their texture styles are finally recovered by colorization method. Our algorithm is easy to manipulate and can also be extended to other multi-spectral wavebands.

Citation Download Citation

Zhangye Wang, Jianqiu Jin, Junwen Liang, Ke Yan, and Qunsheng Peng "A new cloud removal algorithm for multi-spectral images", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430W (3 November 2005); https://doi.org/10.1117/12.654869

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available