An Oriented Object Detector for Hazy Remote Sensing Images-Reference-Cited by-同舟云学术

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An Oriented Object Detector for Hazy Remote Sensing Images

Published:2024 Issue: Volume:62 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Bo¹^ORCID,Chen Si-Bao¹^ORCID,Wang Jia-Xin²,Tang Jin¹^ORCID,Luo Bin¹^ORCID

Affiliation:

1. MOE Key Laboratory of ICSP, IMIS Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Zenmorn-AHU AI Joint Laboratory, School of Computer Science and Technology, Anhui University, Hefei, China

2. Anhui University of Science and Technology, Huainan, China

Funder

National Natural Science Foundation of China (NSFC) Key Project of Joint Fund for Enterprise Innovation and Development

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10658989.pdf?arnumber=10658989

Reference40 articles.

1. FCOS: Fully Convolutional One-Stage Object Detection

2. Focal Loss for Dense Object Detection

3. Faster R-CNN: Towards real-time object detection with region proposal networks;Ren

4. YOLO9000: Better, Faster, Stronger

5. YOLOv3: An incremental improvement;Redmon;arXiv:1804.02767,2018

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