@inproceedings{a4921553282a47aca5bf5a0597ff40bd,
title = "Investigation of Deep Learning Methodologies in Satellite Image based Ship Detection",
abstract = "Maritime surveillance is one of the major phases of security concern of borders to track the illegal movement across the borders. Over the past decade, deep learning proves in majority of applications for an efficient object detection and classification. This research article gives the detailed overview of various deep learning based architecture for an efficient ship detection using satellite images.",
keywords = "Deep Learning, Remote Sensing, Satellite Images, Ship Detection",
author = "I. Joseph and V. Karunakaran and T. Sujatha and \{Edwin Rai\}, \{S. Benson\} and S. Velliangiri",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 ; Conference date: 07-04-2022 Through 09-04-2022",
year = "2022",
doi = "10.1109/ICSCDS53736.2022.9760824",
language = "English",
series = "International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1734--1739",
booktitle = "International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 - Proceedings",
address = "United States",
}