Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms-Reference-Cited by-同舟云学术

Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms

Published:2022 Issue: Volume:15 Page:9311-9326
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:

Zhang Chi¹^ORCID,Zhang Xi²^ORCID,Zhang Jie¹^ORCID,Gao Gui³^ORCID,Dai Yongshou¹,Liu Genwang²^ORCID,Jia Yongjun⁴^ORCID,Wang Xiaochen⁵^ORCID,Zhang Yi⁴,Bao Meng²

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, China

2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China

3. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

4. National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing, China

5. Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, Aerospace Information Research Institute, Chinese Academy of Science, Beijing, China

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation of China

State Key Laboratory Foundation of CEMEE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09927347.pdf?arnumber=9927347

Reference89 articles.

1. Unsupervised Domain Adaptation for SAR Target Detection