A New Maximum-Likelihood Change Estimator for Two-Pass SAR Coherent Change Detection.

Technical Report · Mon Sep 01 04:00:00 EDT 2014

DOI:https://doi.org/10.2172/1159161· OSTI ID:1159161

Wahl, Daniel E.; Yocky, David A.

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.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1159161
• Report Number(s): SAND2014-18179; 537768
• Country of Publication: United States
• Language: English