Faculty Advisor

Clancy, Edward A.

Faculty Advisor

Iannacchione, Germano S.

Center

MIT Lincoln Laboratory-Lexington, Massachusetts

Abstract

This project proposes a basis for a flexible processing and tracking scheme based on image classification. Satellite scene images consisting of various background scenarios were classified using linear discriminant analysis and a support vector machine based on four statistical features and the bag of keypoints descriptor. The bag of keypoints descriptor did not render significantly improved results for this dataset. Increasing the number of image classes increased the number of features needed to achieve linear class separability. This methodology can be applied for imagery of any waveband. Target trackers modified to leverage this classification scheme may be allowed to track more successfully in a variety of background scenarios.

Publisher

Worcester Polytechnic Institute

Date Accepted

December 2014

Major

Electrical and Computer Engineering

Major

Physics

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Electrical and Computer Engineering

Advisor Department

Physics

Project Center

MIT Lincoln Laboratory-Lexington, Massachusetts

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