A new maximum-likelihood change estimator for two-pass SAR coherent change detection
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
In previous research, two-pass repeat-geometry synthetic aperture radar (SAR) coherent change detection (CCD) predominantly utilized the sample degree of coherence as a measure of the temporal change occurring between two complex-valued image collects. Previous coherence-based CCD approaches tend to show temporal change when there is none in areas of the image that have a low clutter-to-noise power ratio. Instead of employing the sample coherence magnitude as a change metric, in this paper, we derive a new maximum-likelihood (ML) temporal change estimate—the complex reflectance change detection (CRCD) metric to be used for SAR coherent temporal change detection. The new CRCD estimator is a surprisingly simple expression, easy to implement, and optimal in the ML sense. As a result, this new estimate produces improved results in the coherent pair collects that we have tested.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1237379
- Alternate ID(s):
- OSTI ID: 1426904
- Report Number(s):
- SAND--2015-2024J; 569615
- Journal Information:
- IEEE Transactions on Geoscience and Remote Sensing, Journal Name: IEEE Transactions on Geoscience and Remote Sensing Journal Issue: 4 Vol. 54; ISSN 0196-2892
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
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