Autofocused Spotlight Sar Image Reconstruction Of Off-Grid Sparse Scenes

Autor: Ali Cafer Gurbuz, Sedat Camlica, Orhan Arikan
Přispěvatelé: Arıkan, Orhan
Rok vydání: 2017
Předmět:
Synthetic aperture radar
Compressive sensing (CS)
High quality images
Computer science
Image quality
Errors
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Aerospace Engineering
Spotlight synthetic aperture radar (SAR)
02 engineering and technology
Iterative reconstruction
Autofocus
law.invention
Communication channels (information theory)
Image processing
law
Radar imaging
0202 electrical engineering
electronic engineering
information engineering
Sparse
Computer vision
Orthogonal matching pursuit
Electrical and Electronic Engineering
Image resolution
Radar
business.industry
Phase noise
020206 networking & telecommunications
Remote sensing
Image plane
Off-grid
Reconstruction techniques
Inverse synthetic aperture radar
Performance metrics
Image reconstruction
020201 artificial intelligence & image processing
Artificial intelligence
business
Zdroj: IEEE Transactions on Aerospace and Electronic Systems
Popis: Synthetic aperture radar (SAR) has significant role in remote sensing. Phase errors due to uncompensated platform motion, measurement model mismatch, and measurement noise can cause degradations in SAR image reconstruction. For efficient processing of the measurements, image plane is discretized and autofocusing algorithms on this discrete grid are employed. However, in addition to the platform motion errors, the reflectors, which are not exactly on the reconstruction grid, also degrade the image quality. This is called the off-grid target problem. In this paper, a sparsity-based technique is developed for autofocused spotlight SAR image reconstruction that can correct phase errors due to uncompensated platform motion and provide robust images in the presence of off-grid targets. The proposed orthogonal matching pursuit-based reconstruction technique uses gradient descent parameter updates with built in autofocus. The technique can reconstruct high-quality images by using sub Nyquist rate of sampling on the reflected signals at the receiver. The results obtained using both simulated and real SAR system data show that the proposed technique provides higher quality reconstructions over alternative techniques in terms of commonly used performance metrics.
Databáze: OpenAIRE
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