A Degraded Reconstruction Enhancement-Based Method for Tiny Ship Detection in Remote Sensing Images With a New Large-Scale Dataset-Reference-Cited by-同舟云学术

A Degraded Reconstruction Enhancement-Based Method for Tiny Ship Detection in Remote Sensing Images With a New Large-Scale Dataset

Author:

Chen Jianqi¹^ORCID,Chen Keyan¹^ORCID,Chen Hao¹^ORCID,Zou Zhengxia²^ORCID,Shi Zhenwei¹^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics, Beihang University, Beijing, China

2. Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference69 articles.

3. Object detection in 20 years: A survey;zou;arXiv 1905 05055,2019

4. Ship detection in high-resolution optical imagery based on anomaly detector and local shape feature;shi;IEEE Trans Geosci Remote Sens,2013

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. CPDTD: Content-Perception Downsampling-Based Small Target Detector in Remote Sensing Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. EagleEye: Nanosatellite constellation design for high-coverage, high-resolution sensing;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1;2024-04-17