Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey

arXiv:2302.10473v4 Announce Type: replace
Abstract: Oriented object detection is one of the most fundamental and challenging tasks in remote sensing, aiming to locate and classify objects with arbitrary orientations. Recent years have witnessed remarkable progress in oriented object detection using deep learning techniques. Given the rapid development of this field, this paper aims to provide a comprehensive survey of recent advances in oriented object detection. To be specific, we first review the technical evolution from horizontal object detection to oriented …

abstract arxiv cs.cv deep learning deep learning techniques detection development images object objects optical progress sensing survey tasks type