Invention Grant
US08170272B1 Method for classifying vessels using features extracted from overhead imagery
有权
使用从塔顶图像中提取的特征对船舶进行分类的方法
- Patent Title: Method for classifying vessels using features extracted from overhead imagery
- Patent Title (中): 使用从塔顶图像中提取的特征对船舶进行分类的方法
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Application No.: US12711110Application Date: 2010-02-23
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Publication No.: US08170272B1Publication Date: 2012-05-01
- Inventor: Erin Joslin , Heidi Buck , Jason Cole , Daniel Garcia , Stephen Hobbs , John Stastny
- Applicant: Erin Joslin , Heidi Buck , Jason Cole , Daniel Garcia , Stephen Hobbs , John Stastny
- Applicant Address: US DC Washington
- Assignee: The United States of America as represented by the Secretary of the Navy
- Current Assignee: The United States of America as represented by the Secretary of the Navy
- Current Assignee Address: US DC Washington
- Agent Arthur K. Samora; Kyle Eppele
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62

Abstract:
Methods for processing overhead imagery of a vessel include the step of determining an initial classification and classification probability based on the vessel length and length-to-width ratio. Next, mutually exclusive deck features can be extracted from the image. For several embodiments, the extracted deck features that can be spherical tanks, hatches and containers that are stored on deck. The initial classification probability is then weighted using the results of the deck feature extraction step to yield a posterior classification probability for the ship image. If the posterior classification probability is above a predetermined value, the image is assigned a posterior classification. If the posterior probability is below the predetermined value, the vessel image is classified as unknown, and the gross tonnage of the vessel is calculated using the length and width of the vessel.
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