Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Understand

Substantial efforts have been devoted more recently to presenting various methods for object detection in optical remote sensing images.

• However, the current survey of datasets and deep learning based methods for object detection in optical remote sensing images is not adequate.
• Moreover, most of the existing datasets have some shortcomings, for example, the numbers of images and object categories are small scale, and the image diversity and variations are insufficient.
• These limitations greatly affect the development of deep learning based object detection methods.