Mitigating Effects of Missing Data for SAR Coherent Images
Journal Article
·
· IEEE Transactions on Aerospace and Electronics Systems
Missing samples within synthetic aperture radar data result in image distortions. For coherent data products, such as coherent change detection and interferometric processing, the image distortion can be devastating to these second order products, resulting in missed detections and inaccurate height maps. Earlier approaches to repair the coherent data products focus upon reconstructing the missing data samples. This study demonstrates that reconstruction is not necessary to restore the quality of the coherent data products.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- Contributing Organization:
- Oklahoma State Univ., Stillwater, OK (United States)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1343062
- Report Number(s):
- SAND--2016-7537J; 646373
- Journal Information:
- IEEE Transactions on Aerospace and Electronics Systems, Journal Name: IEEE Transactions on Aerospace and Electronics Systems Journal Issue: 2 Vol. 53; ISSN 0018-9251
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
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