Deep Neural Network Based Detection and Segmentation of Ships for Maritime Surveillance-Reference-Cited by-同舟云学术

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Deep Neural Network Based Detection and Segmentation of Ships for Maritime Surveillance

Published:2023 Issue:1 Volume:44 Page:647-662
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Roy Kyamelia,Sinha Chaudhuri Sheli,Pramanik Sayan,Banerjee Soumen

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v44n1/48059/pdf

Reference44 articles.

1. What is maritime security?;Bueger;Marine Policy,2015

2. Ship detection in SAR imagery: A comparison study;Iervolino,2017

3. Ship surveillance with TerraSAR-X;Brusch;IEEE Transactions on Geoscience and Remote Sensing,2010

4. Comparison of ship detectors for polarimetric SAR imagery;Crisp,2010

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2. Bayes R-CNN: An Uncertainty-Aware Bayesian Approach to Object Detection in Remote Sensing Imagery for Enhanced Scene Interpretation;Remote Sensing;2024-06-30

3. Risk Analysis of Device Within the Organization that are Vulnerable to Cyber Security Attacks with Artificial Intelligence;2024 IEEE International Conference on Cybernetics and Innovations (ICCI);2024-03-29

4. Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning;IEEE Access;2024

5. Advanced Ship Detection System using Yolo v7;2023 IEEE 7th Conference on Information and Communication Technology (CICT);2023-12-15

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