Research on Remote Sensing Image De‐haze Based on GAN

Author:

Zhang Xianhong

Funder

Doctoral Research Fund Project of Heilongjiang Institute of Technology

Heilongjiang Science Foundation Project

Heilongjiang Institute of Technology Innovation Team Project

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference34 articles.

1. Gong, J., & Zhong, Y. (2016). Survey of intelligent optical remote sensing image processing. Journal of Remote Sensing, 20(5), 733–747.

2. Chen, C. H., Liu, Y., & Cui, Q. (2018). Remote sensing image defogging algorithm based on saturation operation and dark channel theory. Computer Engineering and Application, 5, 174–179.

3. Tan, W., Cao, S. X., Qi, W. W., & He, H. Y. (2019). A haze removal method for high-resolution remote sensing images. Acta Optica Sinica, 39(3), 1–17.

4. Yuan, W., Q. (2016). Research on some key technologies of high resolution remote sensing image statistical processing and analysis. Xi’an Electronic and Science University.

5. Hou, J., Ning, L., Ling, Y., et al. (2018). Single image de-haze for visible remote sensing based on tagged haze thickness maps. Remote Sensing Letters, 9(7), 627–635.

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