Research on Ship Detection in Visible Remote Sensing Images

Qian Li; Kaiwen Yang; Peng Wei

Title:
Research on Ship Detection in Visible Remote Sensing Images

Authors:
Peng Wei | Qian Li | Kaiwen Yang

Cite This Article :

Peng Wei | Qian Li | Kaiwen Yang "Research on Ship Detection in Visible Remote Sensing Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1, December 2020, pp.55-59, URL: https://www.ijtsrd.com/papers/ijtsrd35823.pdf

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Abstract :
With the continuous development of remote sensing technology and satellite communication technology, the higher is the resolution of remote sensing images, and the richer is information contained in the image. How to obtain information from remote sensing images quickly and accurately is the key problem in the application of remote sensing technology. This paper introduces the automatic detection of ship targets in visible light remote sensing images, analyzes the methods and problems of target detection and semantic segmentation based on deep learning, which improves the accuracy of ship detection. Finally, this paper summarizes the short comings of the existing methods and prospects of the future research trend.

Keywords :
remote sensing images, computer vision, deep learning

Publication Details:

Unique Identification Number : IJTSRD35823

Published In : Volume-5 | Issue-1, December 2020

Page Number(s) : 55-59

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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