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Article

18 Citations

4,101 Views

19 Pages

Unsupervised Image Dedusting via a Cycle-Consistent Generative Adversarial Network

Guxue Gao,
Huicheng Lai and
Zhenhong Jia

Remote Sens.2023, 15(5), 1311;https://doi.org/10.3390/rs15051311

27 February 2023

In sand–dust weather, the quality of the image is seriously degraded, which affects the ability of advanced applications to image using remote sensing. To improve the image quality and enhance the performance of image dedusting, we propose an e...

(This article belongs to the Special Issue Active Learning Methods for Remote Sensing Data Processing)

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Article

8 Citations

2,693 Views

17 Pages

Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information

Chengcai Fu,
Fengli Lu,
Xiaoxiao Zhang and
Guoying Zhang

Symmetry2021, 13(11), 2097;https://doi.org/10.3390/sym13112097

5 November 2021

Affected by the uneven concentration of coal dust and low illumination, most of the images captured in the top-coal caving face have low definition, high haze and serious noise. In order to improve the visual effect of underground images captured in...

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