Work

SEDRNet: enhanced residual networks with SE and dilated convolutions for synthetic aperture radar ship recognition

Year: 2025

Type: article

Source: Journal of Applied Remote Sensing

DOI: 10.1117/1.jrs.19.028501

Authors: Xiaojuan Wang, Baoqing Yang, Songlin Chen, Xinggao Liu

Institutions: Harbin Institute of Technology, State Key Laboratory of Industrial Control Technology, Zhejiang University

Language: English

Topic: Advanced SAR Imaging Techniques

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G7285477154

OpenAlex ID: W4409219971

FWCI:

Cites: 38

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Related to: 10