A Thin Cloud Removal Method for Optical Image Based on Improved Homomorphism Filtering

Guang Yu; Wen Bang Sun; Gang Liu; Mai Yu Zhou

doi:10.4028/www.scientific.net/AMM.618.519

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 618A Thin Cloud Removal Method for Optical Image...

A Thin Cloud Removal Method for Optical Image Based on Improved Homomorphism Filtering

Abstract:

Optical remote image is affected by thin cloud inevitably, which debases image definition. Traditional homomorphism filtering frequently used in thin cloud removing has affect on the cloud in low frequency region, but is not effective for those in high frequency region. An improved homomorphism filtering method is proposed on the basis of statistical characters of image information. Instead of the filtering in frequency field, it isolates the low frequency component of the image representing cloud information with calculating neighborhood average in spatial field. Then, the filtered image is enhanced based on rough set. The experiment results show that the proposed method compared to traditional methods can obtain good results and performs faster.

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Periodical:

Applied Mechanics and Materials (Volume 618)

Pages:

519-522

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.618.519

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Online since:

August 2014

Authors:

Guang Yu*, Wen Bang Sun, Gang Liu, Mai Yu Zhou

Keywords:

Cloud Removal, Homomorphism Filtering, Optical Image

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* - Corresponding Author

References

[1] Zhu X L, Wu F, Sun Y B. An inproved approach to remove cloud and mist form remote sensing digital images based on Mallat algorithm. J. Journal of Remote Sensing, 11(2) (2007), pp.241-246.

DOI: 10.1117/12.791023

Google Scholar

[2] Lu X L, Liu R G, Liu J Y, etal. Removal of noise by walvelet method to generate high quality temporal data of terrestrial MODIS products. J. Photogrammetric Engineering and Remote Sensing, 73(10)(2007), pp.1129-1139.

DOI: 10.14358/pers.73.10.1129

Google Scholar

[3] Zhang P Q, Yu X C, Han L. Remote sensing image enhancement using filtering methods with thin cloud cover, J. Hydrographic Surveying and Charting, 28(2) (2008) , pp.13-16.

Google Scholar

[4] Fan Y C, Li Y C, Han Y, Zhang L X. Weakening of smoke for homomorphic filtering, J. Journal of image and Graphics, 17(5) (2012), pp.635-639.

Google Scholar

[5] Wang H, Tan B, Shen Z Y. The processing technology of removing clouds image based on the multi-resource RS image. J. Journal of Institute of Surveying and Mapping, 18(3)( 2001), pp.195-198.

Google Scholar

[6] Shen W S, Zhou X Z. Algorithm for removing thin cloud from remote sensing digital images based on homomorphic filtering, J. High Power Laser and Particles, 1 (2010), pp.45-48.

DOI: 10.3788/hplpb20102201.0045

Google Scholar