3WM-AugNet: A Feature Augmentation Network for Remote Sensing Ship Detection Based on Three-Way Decisions and Multigranularity

Author:

Ying Li1ORCID,Miao Duoqian2ORCID,Zhang Zhifei1ORCID

Affiliation:

1. Department of Computer Science and Technology and the Project Management Office of China National Scientific Seafloor Observatory, Tongji University, Shanghai, China

2. Department of Computer Science and Technology, Tongji University, Shanghai, China

Funder

National Key Research and Development Program of “Cyberspace Security Governance” Special Program

National Nature Science Foundation of China

Jiangxi “Double Thousand Plan,” the Jiangxi Provincial Natural Science Fund

China National Scientific Sea-Floor Observatory, the Natural Science Foundation of Shanghai

Interdisciplinary Project in Ocean Research of Tongji University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference64 articles.

1. Hyperspectral image denoising and anomaly detection based on low-rank and sparse representations;zhuang;IEEE Trans Geosci Remote Sens,2022

2. You Should Look at All Objects

3. BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection

4. FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

5. R2CNN: Rotational region CNN for orientation robust scene text detection;jiang;arXiv 1706 09579,2017

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