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