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A Robust Channel-Calibration Algorithm for Multi-Channel in Azimuth HRWS SAR Imaging Based on Local Maximum-Likelihood Weighted Minimum Entropy
- Source :
- IEEE Transactions on Image Processing. 22:5294-5305
- Publication Year :
- 2013
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2013.
-
Abstract
- High-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) is an essential tool for modern remote sensing. To effectively deal with the contradiction problem between high-resolution and low pulse repetition frequency and obtain an HRWS SAR image, a multi-channel in azimuth SAR system has been adopted in the literature. However, the performance of the Doppler ambiguity suppression via digital beam forming processing suffers the losses from the channel mismatch. In this paper, a robust channel-calibration algorithm based on weighted minimum entropy is proposed for the multi-channel in azimuth HRWS SAR imaging. The proposed algorithm is implemented by a two-step process. 1) The timing uncertainty in each channel and most of the range-invariant channel mismatches in amplitude and phase have been corrected in the pre-processing of the coarse-compensation. 2) After the pre-processing, there is only residual range-dependent channel mismatch in phase. Then, the retrieval of the range-dependent channel mismatch in phase is achieved by a local maximum-likelihood weighted minimum entropy algorithm. The simulated multi-channel in azimuth HRWS SAR data experiment is adopted to evaluate the performance of the proposed algorithm. Then, some real measured airborne multi-channel in azimuth HRWS Scan-SAR data is used to demonstrate the effectiveness of the proposed approach.
- Subjects :
- Synthetic aperture radar
Pulse repetition frequency
Computer science
business.industry
Doppler radar
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Side looking airborne radar
Computer Graphics and Computer-Aided Design
law.invention
Continuous-wave radar
Azimuth
Inverse synthetic aperture radar
symbols.namesake
law
Radar imaging
symbols
Entropy (information theory)
Computer vision
Artificial intelligence
business
Image resolution
Doppler effect
Software
Subjects
Details
- ISSN :
- 19410042 and 10577149
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Image Processing
- Accession number :
- edsair.doi.dedup.....93f1ee8b5c486e5bcb907e1a42b21135