• Mohith A N
• Rehan Nadeemulla
• Rahul Ghosh
• Md Shahid
• Dr. Sreenivasa B C

In the commercial/military realm, ship detection has a variety of applications, and offshore security is an increasingly important need for countries around the world. For many private and public institutions, it is essential to comprehend marine activities on water bodies and at sea. Illegal, Unregulated, and unreported fishing and human trafficking must be prevented or deterred by the monitoring and regulation of activities like fishing, cargo transportation, passenger travel, and recreational traffic and it aids in preventing illegal activity. The numerous disruptions and sounds in these kinds of photos make ship detection one of the most difficult tasks. Because ships come in a variety of shapes and sizes, it might be challenging to identify a pattern or any regularity in these pictures. When there are merely ships of different types in the ocean, it is comparatively simpler in a homogenous environment. The issue, however, becomes tenfold in heterogeneous environments, which include additional components like beaches, harbors, vessels, rocks, islands, etc. The advantage of Synthetic Aperture Radar (SAR) in remote sensing is that it offers continuous coverage during all weather conditions.

Ship Detection, Satellite Imagery, Deep Learning,ResNet,CNN

"Detection Of Ships in Satellite Imagery Using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.a142-a147, May-2023, Available :http://www.jetir.org/papers/JETIR2305019.pdf

"Detection Of Ships in Satellite Imagery Using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppa142-a147, May-2023, Available at : http://www.jetir.org/papers/JETIR2305019.pdf