Thin Cloud Removal for Single RGB Aerial Image

2021 ◽  
Vol 40 (1) ◽  
pp. 398-409
Author(s):  
Chengfang Song ◽  
Chunxia Xiao ◽  
Yeting Zhang ◽  
Haigang Sui
Keyword(s):  
Aerial Image ◽  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal

Thin cloud removal with residual symmetrical concatenation network

2019 ◽  
Vol 153 ◽  
pp. 137-150 ◽  
Author(s):  
Wenbo Li ◽  
Ying Li ◽  
Di Chen ◽  
Jonathan Cheung-Wai Chan
Keyword(s):  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal

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

2014 ◽  
Vol 618 ◽  
pp. 519-522
Author(s):  
Guang Yu ◽  
Wen Bang Sun ◽  
Gang Liu ◽  
Mai Yu Zhou
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Frequency Component ◽  
Frequency Region ◽  
High Frequency Region ◽  
Filtering Method ◽  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal ◽  
Image Definition

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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