US Government As Represented by the Secretary of the Army

Jeffrey P Sichina

Lam Huy Nguyen

Kenneth Irving Ranney

A method and system for generating images from projection data comprising: at least one processor for processing input data, the input data comprising positional data and image data, the image data comprising frequency data for a pre-determined number k frequencies the at least one processor operating to: a) set the frequency data to zero for a predetermined percentage of the k frequencies to form modified frequency data; b) form a preliminary image comprising an array of retained pixel values based upon first positional data and the modified frequency data; c) set the frequency data to zero for a predetermined percentage of the k frequencies to form modified frequency data; d) form a modified image comprising an array of pixels based upon the positional data and the modified frequency data; e) compare the retained array of pixel values to the pixel values of the modified image formed at step (d); f) retain the minimum pixel value at each pixel location to form an image comprising minimum pixel values; g) repeat steps (c) through (f) for L iterations each time retaining an array of pixel values; h) output the image of retained pixel values.

System and method for iterative fourier side lobe reduction

A method and system for investigating and displaying an image of an area of interest comprising a moving vehicle; at least one processor for producing an image of the area of interest; at least one first transmitter for emitting first signals substantially in a first direction, the at least one first transmitter being operatively associated with the moving vehicle and the processor; at least one first receiver for receiving backscattered signals resulting from the first radar signals, the at least one first receiver being operatively associated with the moving vehicle and the processor; at least one second transmitter operatively for emitting second signals in a direction substantially opposite to the first direction, the at least one second transmitter being operatively associated with the moving vehicle and the processor; at least one second receiver for receiving backscattered signals resulting from the second signals, the at least one second receiver being operatively associated with the moving vehicle and the processor, a GPS subsystem for providing position data relating to the position of the vehicle; the at least one first receiver and the at least one second receiver operating to provide image data to the at least one processor; the at least one processor operating to combine image data from the at least one first receiver and the at least one second receiver with the position data to form a single image; and a display to display the combined image data.

Multidirectional target detecting system and method

A method and system for generating images from projection data comprising inputting first values representing correlated positional and recorded data; forming an image by processing the projection data utilizing a pixel characterization imaging subsystem 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 Acomprising 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; selecting and removing a substantial number of aperture positions to form a sparse aperture Afor L iterations; classifying each pixel in the image into target class based on the statistical distribution of its amplitude across L iterations; otherwise, the pixel is given the value of zero.

Method and system for forming very low noise imagery using pixel classification

Self-calibrating an automatic, surveillance-based change detection system operating on noisy imagery comprises detecting a first image co-registered with a second image, wherein the first image and the second image each comprise pixels of a noisy image of a scene; detecting the second image co-registered with the first image, wherein co-registration of the first image with the second image comprises pixels from different images corresponding to a same location within the scene; producing a calibration factor based on the co-registered images; producing a modified ratio of pixel values corresponding to the first image and the second image from the same location within the scene; and comparing the modified ratio to a pre-determined threshold ratio value.

Metric and self-calibration for an automatic, surveillance-based change detection system operating on noisy imagery

A method and system for generating images from projection data; a preferred embodiment comprising inputting projection data from at least one receiving element; generating a first aperture or array of data points containing positional and signal data; arbitrarily and/or randomly removing data points from the first array to form a series of subarrays comprising different sets of data points; generating preliminary images from the subarrays; comparing the corresponding image pixels from two preliminary images to determine for each pixel location the lesser or equal pixel values; forming a merged image from the lesser or equal pixel values; and repeating the comparison of corresponding image pixels of another preliminary image to the merged image to determine the lesser or equal pixel values until a merged image of the desired quality is obtained. A preferred embodiment of the system may comprise at least one processor, comparator and/or image generator.

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Ocean View, DE, United States of America

Jeffrey P Sichina