File:MARITIME DOMAIN AWARENESS BY ANOMALY DETECTION LEVERAGING TRACK INFORMATION (IA maritimedomainaw1094560384).pdf
Original file (1,275 × 1,650 pixels, file size: 4.2 MB, MIME type: application/pdf, 126 pages)
Captions
Summary[edit]
MARITIME DOMAIN AWARENESS BY ANOMALY DETECTION LEVERAGING TRACK INFORMATION ( ) | |
---|---|
Author |
Ashraf, Tauseef |
Title |
MARITIME DOMAIN AWARENESS BY ANOMALY DETECTION LEVERAGING TRACK INFORMATION |
Publisher |
Monterey, CA; Naval Postgraduate School |
Description |
Techniques for anomaly detection in the maritime domain are developed in this thesis using an area metric that measures the degree of similarity, or distinction, between ships’ tracks using the area between ships’ tracks. A modified k-means algorithm is applied to the areas calculated between ships tracks to extract sea lanes and classify these ships’ tracks into sea lanes. Bayes’ theorem of conditional probabilities is used to calculate the probability of ship tracks being in different sea lanes. Two types of anomaly detection are examined in this thesis. Ships not sailing in standard sea lanes are detected using Bayes’ theorem, and ships following one another are detected using user-defined thresholds on the minimum area between sea tracks. The development of the metric that compares ships’ track data using area is the most significant result of this thesis. Subjects: area calculation algorithm; Bayes' theorem; area metric; k-means cluster; anomaly detection; sea lane; ship track; conditional probability |
Language | English |
Publication date | September 2018 |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
Accession number |
maritimedomainaw1094560384 |
Source | |
Permission (Reusing this file) |
Copyright is reserved by the copyright owner. |
Licensing[edit]
Public domainPublic domainfalsefalse |
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
|
||
This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 18:36, 22 July 2020 | 1,275 × 1,650, 126 pages (4.2 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection maritimedomainaw1094560384 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #21218) |
You cannot overwrite this file.
File usage on Commons
The following page uses this file:
Metadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Short title | MARITIME DOMAIN AWARENESS BY ANOMALY DETECTION LEVERAGING TRACK INFORMATION |
---|---|
Author | Ashraf, Tauseef |
Software used | Ashraf, Tauseef |
Conversion program | Adobe PDF Library 11.0 |
Encrypted | no |
Page size |
|
Version of PDF format | 1.4 |