An Improved Deep Neural Network for Small-Ship Detection in SAR Imagery-Reference-Cited by-同舟云学术

An Improved Deep Neural Network for Small-Ship Detection in SAR Imagery

Published:2024 Issue: Volume:17 Page:2596-2609
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:

Hu Boyi¹^ORCID,Miao Hongxia¹^ORCID

Affiliation:

1. State Key of Networking and Switching Technology, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10374546.pdf?arnumber=10374546

Reference48 articles.

1. A General Framework of Polarimetric Detectors Based on Quadratic Optimization

2. Simultaneous Diagonalization of Hermitian Matrices and Its Application in PolSAR Ship Detection

3. Ship Detection for Complex Background SAR Images Based on a Multiscale Variance Weighted Image Entropy Method

4. Fishing Vessel Classification in SAR Images Using a Novel Deep Learning Model

5. An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

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