Master thesis in Computer science: Operational detection and management of ships in Vietnam coastal region using VNredsat-1-Image

In this thesis, we introduce the potential ship detection and management method, which to the best of our knowledge, is the first one made for Vietnamese coastal region using high resolution pan images from VNREDSat-1.
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Master thesis in Computer science: Operational detection and management of ships in Vietnam coastal region using VNredsat-1-Image VIETNAM NATIONAL UNIVERSITY, HANOIUNIVERSITY OF ENGINEERING AND TECHNOLOGY LƯU VIỆT HƯNGOPERATIONAL DETECTION AND MANAGEMENTOF SHIPS IN VIETNAM COASTAL REGION USING VNREDSAT-1 IMAGE MASTER THESIS IN COMPUTER SCIENCE HANOI – 2016 VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGY LƯU VIỆT HƯNG OPERATIONAL DETECTION ANDMANAGEMENT OF SHIPS IN VIETNAM COASTAL REGION USING VNREDSAT-1 IMAGE Major: Information Technology Sub-Major: Computer Science Mã số: 60480101 MASTER THESIS IN COMPUTER SCIENCE ADVISOR: DR. NGUYEN THI NHAT THANH HANOI – 2016STATEMENT ON ACADEMIC INTEGRITY I hereby declare and confirm with my signature that the thesis isexclusively the result of my own autonomous work based on my research andliterature published, which is seen in the notes and bibliography used. I alsodeclare that no part of the thesis submitted has been made in an inappropriateway, whether by plagiarizing or infringing on any third persons copyright.Finally, I declare that no part of the thesis submitted has been used for any otherpaper in another higher education institution, research institution or educationalinstitution. Hanoi, 28/10/2016 Student Luu Viet HungACKNOWLEDGEMENT Firstly I would like to express my respect and my special thanks to mysupervisor Dr. Nguyen Thi Nhat Thanh, VNU University of Engineering andTechnology, for the enthusiastic guidance, warm encouragement and usefulresearch experiment. Secondly, I greatly appreciate my supervisor Dr. Bui Quang Hung and co-worker in Center of Multidisciplinary Integrated Technologies for FieldMonitoring, VNU University of Engineering and Technology, for theirencouragements and insightful comments. Thirdly, I am grateful to all the lecturers of VNU University ofEngineering and Technology, for their invaluable knowledge which they taughtto me during academic years. Last but not least, my family is really the biggest motivation behind me.My parents, my brother, my sister-in-law and my little nephew alwaysencourage me when I have stress and difficulties. I would like to send them mygratefulness and love. The work done in this thesis was supported by Space TechnologyInstitute, Vietnam Academy of Science under Grant VT-UD.06/16-20.TABLE OF CONTENTTABLE OF CONTENT ........................................................................................ 3LIST OF FIGURES ............................................................................................... 6ABSTRACT .......................................................................................................... 7CHAPTER 1 INTRODUCTION .............................................................. 11.1 Motivation ......................................................................................... 11.2 Objectives .......................................................................................... 61.3 Contributions and thesis structure ..................................................... 7CHAPTER 2 LITERATURE REVIEW OF SHIP DETECTIONUSING OPTICAL SATELLITE IMAGE ............................................................ 82.1 Ship candidate selection .................................................................... 82.2 Ship classification ........................................................................... 102.3 Operational algorithm selection ...................................................... 11CHAPTER 3 THE OPERATIONAL METHOD ................................... 123.1 Sea surface analysis......................................................................... 13 3.1.1 Majority Intensity Number...................................................... 13 3.1.2 Effective Intensity Number ..................................................... 14 3.1.3 Intensity Discrimination Degree ............................................. 143.2 Candidate selection ......................................................................... 15 3.2.1 Candidate scoring function ..................................................... 15 3.2.2 Semi-Automatic threshold ...................................................... 163.3 Classification ................................................................................... 17 3.3.1 Features extraction .................................................................. 17 3.3.2 Classifiers ................................................................................ 24CHAPTER 4 EXPERIMENTS .............................................................. 294.1 Datasets ........................................................................................... 294.2 Parameter selection for automatic threshold ................................... 304.3 Parameters selection for classifiers ................................................. 324.4 Quantitative evaluation ................................................................... 334.5 Results and discussion........................... ...