COCO-Net: A Dual-Supervised Network With Unified ROI-Loss for Low-Resolution Ship Detection From Optical Satellite Image Sequences-Reference-Cited by-同舟云学术

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COCO-Net: A Dual-Supervised Network With Unified ROI-Loss for Low-Resolution Ship Detection From Optical Satellite Image Sequences

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xu Qizhi¹^ORCID,Li Yuan¹^ORCID,Zhang Mingjin²^ORCID,Li Wei³^ORCID

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

2. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China

3. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09866711.pdf?arnumber=9866711

Reference60 articles.

1. DE-CycleGAN: An Object Enhancement Network for Weak Vehicle Detection in Satellite Images

2. A Single-Shot Object Detector with Feature Aggregation and Enhancement

3. Single image haze removal using dark channel prior;he;IEEE Trans Pattern Anal Mach Intell,2010

4. Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

5. Fuzzy-Contextual Contrast Enhancement

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