Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69325
Title: Ship detection using optical satellite imagery
Authors: Hu, Jing
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: Given Singapore is a coastal state that connects the West and the East. Being one of the world’s busiest port, maritime security plays a vital role. A comprehensive maritime monitoring system should be developed so as to accommodate growing traffic demand. This project aims at automated extraction of sea-going vessels using the optical imaging products of 21AT’s TripleSat Constellation. Traditionally, synthetic-aperture radar (SAR) satellite imagery is used due to its being “All Weather, All Day” and its prominent target reflections that make ship detection fast and robust. However, optical satellite imagery has its edge over the SAR counterpart in the choices of bands, resolutions and revisit rates, let alone the costs. The implementation of this project leverage on Matlab with image processing toolbox. There are two filtering conditions involved in this Matlab program, which are length-beam ratio and roundness. By using these two constrains, the program can successfully detect sea-going ships among all those false alarms like small island, wakes and cloud. However, due to the limitations of this research, other factors are not considered. For future research, it is highly recommended to have more filtering criteria and apply machine learning in the algorithm.
URI: http://hdl.handle.net/10356/69325
Schools: School of Electrical and Electronic Engineering 
Organisations: 21AT’s TripleSat Constellation
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
HJ_FYP_Report.pdf
  Restricted Access
2.45 MBAdobe PDFView/Open

Page view(s) 50

484
Updated on Feb 16, 2025

Download(s)

9
Updated on Feb 16, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.