Matsushita Electric Industrial Co., Ltd.

US Government As Represented by the Secretary of the Army

Joao Miguel Romano

Shaomin Samuel Mo

Alexander Mircea Haimovich

Dalton S Rosario

James P McCarthy

A methodology for detecting image anomalies in a target area for classifying objects therein, in which at least two images of the target area are obtained from a sensor representing different polarization components. The methodology can be used to classify and/or discriminate manmade objects from natural objects in a target area, for example. A data cube is constructed from the at least two images with the at least two images being aligned, such as on a pixel-wise basis. A processor computes the global covariance of the data cube and thereafter locates a test window over a portion of the data cube. The local covariance of the contents of the test window is computed and objects are classified within the test window when an image anomaly is detected in the test window. For example, an image anomaly may be determined when a matrix determinant ratio of the local covariance and the global covariance exceeds a probability ratio threshold. The window can then be moved, e.g., by one or more pixels to form a new test window in the target area, and the above steps repeated until all of the pixels in the data cube have been included in at least one test window.

Image anomaly detection in a target area using polarimetric sensor data

A method and apparatus for modulating a pulse signal with a bit stream is disclosed. The pulse signal is modulated by selectively inverting and delaying signal pulses within the pulse signal responsive to bits within the bit stream.

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Belleville, NJ, United States of America

Joao Miguel Romano