基于迁移学习方法的深度神经网络卫星图像船舶检测

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Pub Date : 2022-12-16 DOI:10.1109/ICAC3N56670.2022.10074554

Rutuparna N, I. M

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引用次数: 0

摘要

随着贸易和商业全球化的增加，对一个高效、可靠和强大的海军安全系统的需求也越来越大，尤其是对像印度这样的半岛国家。发展中的技术和公开可用的遥感数据可以很好地解决这个问题。本文的重点是利用迁移学习方法实现深度神经网络模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detection Of Ships in Satellite Imagery Using Deep Neural Networks with Transfer Learning Approach

With increasing trade and globalization of businesses, there is also an increasing need for an efficient, reliable and robust system for Naval Security, especially for a peninsular country like India. The developing technology and publicly available remote sensing data can be a great solution to this. The focus of this paper is to implement a Deep Neural Network model using transfer learning approach.

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2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)

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