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  1. DAG Diagnostic Review: VideoSAR.

    Abstract not provided.
  2. VideoSAR Collections to Image Underground Chemical Explosion Surface Phenomena.

    Abstract not provided.
  3. VideoSAR Collections to Image Underground Chemical Explosion Surface Phenomena.

    Abstract not provided.
  4. Characterizing and Monitoring Suspected Underground Nuclear Sites with VideoSAR.

    Abstract not provided.
  5. Characterizing and Monitoring Suspected Underground Nuclear Sites with VideoSAR.

    Abstract not provided.
  6. Utility of Characterizing and Monitoring Suspected Underground Nuclear Sites with VideoSAR.

    Abstract not provided.
  7. Bistatic SAR: Signal Processing and Image Formation.

    This report describes the significant processing steps that were used to take the raw recorded digitized signals from the bistatic synthetic aperture RADAR (SAR) hardware built for the NCNS Bistatic SAR project to a final bistatic SAR image. In general, the process steps herein are applicable to bistatic SAR signals that include the direct-path signal and the reflected signal. The steps include preprocessing steps, data extraction to for a phase history, and finally, image format. Various plots and values will be shown at most steps to illustrate the processing for a bistatic COSMO SkyMed collection gathered on June 10, 2013more » on Kirtland Air Force Base, New Mexico.« less
  8. PD UITI poster.

    Abstract not provided.
  9. Bistatic SAR: Imagery & Image Products.

    While typical SAR imaging employs a co-located (monostatic) RADAR transmitter and receiver, bistatic SAR imaging separates the transmitter and receiver locations. The transmitter and receiver geometry determines if the scattered signal is back scatter, forward scatter, or side scatter. The monostatic SAR image is backscatter. Therefore, depending on the transmitter/receiver collection geometry, the captured imagery may be quite different that that sensed at the monostatic SAR. This document presents imagery and image products formed from captured signals during the validation stage of the bistatic SAR research. Image quality and image characteristics are discussed first. Then image products such as two-colormore » multi-view (2CMV) and coherent change detection (CCD) are presented.« less
  10. A New Maximum-Likelihood Change Estimator for Two-Pass SAR Coherent Change Detection.

    In this paper, we derive a new optimal change metric to be used in synthetic aperture RADAR (SAR) coherent change detection (CCD). Previous CCD methods tend to produce false alarm states (showing change when there is none) in areas of the image that have a low clutter-to-noise power ratio (CNR). The new estimator does not suffer from this shortcoming. It is a surprisingly simple expression, easy to implement, and is optimal in the maximum-likelihood (ML) sense. The estimator produces very impressive results on the CCD collects that we have tested.
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"Yocky, David A."

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