Ship Detection from Optical Satellite Images with Deep Learning

Project Code :TMMAAI13

Abstract

In this work, we are proposing an open source for fast running ship detection system from optical satellite images with the deep learning algorithm. Object Detection Application Programming Interface (API) is trained by optical satellite images with ships and used as object detection API.

There are some motivations for this purpose:  The effective use and control of maritime routes in the commercial/military area is an increasing and  it's am important need for states. Safe traffic of the ships in narrow canals, avoiding illegal usage of anchoring areas of ships, monitoring fishing activities to avoid illegal fishing or protect fish population, detection of lost ships, boats or debris in the ocean, detection and identification of warships (intelligence, defense, offensive, etc.). These problems can overcome with the help of our  proposed model. 

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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24/7 Support, Voice Conference, Video On Demand, Remote Connectivity, Customization, Live Chat Support

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