Inshore Dense Ship Detection in SAR Images Based on Edge Semantic Decoupling and Transformer-Reference-Cited by-同舟云学术

Inshore Dense Ship Detection in SAR Images Based on Edge Semantic Decoupling and Transformer

Published:2023 Issue: Volume:16 Page:4882-4890
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:

Zhou Yongsheng¹^ORCID,Zhang Feixiang¹^ORCID,Yin Qiang¹^ORCID,Ma Fei¹^ORCID,Zhang Fan²^ORCID

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

2. College of Information Science and Technology, Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10128701.pdf?arnumber=10128701

Reference31 articles.

1. What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue

2. Small Vessel Detection Based on Adaptive Dual-Polarimetric Feature Fusion and Sea–Land Segmentation in SAR Images