An Improved Lightweight RetinaNet for Ship Detection in SAR Images-Reference-Cited by-同舟云学术

An Improved Lightweight RetinaNet for Ship Detection in SAR Images

Published:2022 Issue: Volume:15 Page:4667-4679
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Miao Tian¹^ORCID,Zeng HongCheng¹^ORCID,Yang Wei¹^ORCID,Chu Boce²^ORCID,Zou Fei³,Ren Weijia⁴,Chen Jie¹^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beihang University, Beijing, China

2. CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang, China

3. Beijing Institute of Remote Sensing Information, Beijing, China

4. Spacety Company, Ltd. (Changsha), Changsha, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference39 articles.

3. Very deep convolutional networks for large-scale image recognition;simonyan,2014

5. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy,2020

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