RetinaNet-Based Compact Polarization SAR Ship Detection

Author:

Gao Sheng1ORCID,Liu Hongli1ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Fundamental Research Funds for the Central Universities

CAST Innovation Foundation

State Key Laboratory of Geo-Information Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Pharmacology (medical)

Reference26 articles.

1. Ship detection by using the m-chi and m-delta decompositions;yin;Proc IEEE Int Geosci Remote Sens Symp (IGARSS),2014

2. A Modified Framework for Ship Detection from Compact Polarization SAR Image

3. Potential assessment of SAR in compact and full polarimetry mode for snow detection

4. CANET: An unsupervised deep convolutional neural network for efficient cluster-analysis-based multibaseline InSAR phase unwrapping;zhou;IEEE Trans Geosci Remote Sens,2021

5. Baseline Design for Multibaseline InSAR System: A Review

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