Deep quality assessment toward defogged aerial images

作者：

Highlights：

• We propose a defogged image quality assessment algorithm based on rank learning.

• We propose a random forest classification model.

• We use the learned classification model to calculate the classification result of aerial image by voting.

摘要

•We propose a defogged image quality assessment algorithm based on rank learning.•We propose a random forest classification model.•We use the learned classification model to calculate the classification result of aerial image by voting.

论文关键词：Image defogging,Image quality,Aerial image,Adversarial network,Random forest

论文评审过程：Received 26 June 2019, Revised 19 January 2020, Accepted 7 February 2020, Available online 14 February 2020, Version of Record 24 February 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115808