Mining discriminative spatial cues for aerial image quality assessment towards big data

作者：

Highlights：

• Spatial characteristics are important feature of aerial images that are affectable with distortions.

• Weighted region adjacent graph represents both the topologic structure and object interaction relationship within an image.

• Integrating spatial features with transform domain features in image quality assessment improves the model performance.

摘要

•Spatial characteristics are important feature of aerial images that are affectable with distortions.•Weighted region adjacent graph represents both the topologic structure and object interaction relationship within an image.•Integrating spatial features with transform domain features in image quality assessment improves the model performance.

论文关键词：Big data,Artificial intelligent,Data mining,Image quality assessment

论文评审过程：Received 3 June 2019, Revised 21 August 2019, Accepted 14 September 2019, Available online 17 September 2019, Version of Record 23 September 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.115646