Remote sensing image super-resolution and object detection: Benchmark and state of the art

作者：

Highlights：

• High spatial resolution dataset for small object detection in Remote Sensing images.

• State-of-the-art MCGR network for object detection in Remote Sensing (RS) images.

• The model achieved state-of-the-art performance on other aerial datasets.

• Flexibility to adapt to other object detectors as final detectors.

摘要

•High spatial resolution dataset for small object detection in Remote Sensing images.•State-of-the-art MCGR network for object detection in Remote Sensing (RS) images.•The model achieved state-of-the-art performance on other aerial datasets.•Flexibility to adapt to other object detectors as final detectors.

论文关键词：Remote sensing benchmark,multiclass GAN,Object detection in remote sensing,Small object detection,Deep learning object detection,MCGR

论文评审过程：Received 5 November 2021, Revised 25 January 2022, Accepted 27 February 2022, Available online 2 March 2022, Version of Record 9 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116793