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METHOD AND SYSTEM FOR FORMING VERY LOW NOISE IMAGERY USING PIXEL CLASSIFICATION

  • US 20110012778A1
  • Filed: 09/14/2010
  • Published: 01/20/2011
  • Est. Priority Date: 12/10/2008
  • Status: Active Grant
First Claim
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1. A method for generating images from projection data comprising:

  • inputting from at least one data receiving element first values representing correlated positional and recorded data;

    each of said first values forming a point in an array of N data points;

    forming an image by processing the projection data utilizing a pixel characterization imaging subsystem that combines the positional and recorded data to form the SAR imagery utilizing one of a back-projection algorithm or range migration algorithm;

    integrating positional and recorded data from many aperture positions, comprising;

    forming the complete aperture A0 for SAR image formation comprising collecting the return radar data, the coordinates of the receiver, and the coordinates of the transmitter for each position k along the aperture of N positions;

    forming an imaging grid comprising M image pixels wherein each pixel Pi in the imaging grid is located at coordinate (xP(i),yP(i), zP(i));

    selecting and removing a substantial number of aperture positions to form a sparse aperture Ai;

    repeating the selecting and removing step for L iterations for each Ai;

    classifying each pixel in the image into either target class based on the statistical distribution of its amplitude across L iterations (1≦

    i≦

    L);



    whereby if an image pixel is classified so as to be associated with a physical object, its value is computed from its statistics;

    otherwise, the pixel is assumed to come from a non-physical object and is given the value of zero.

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