Paper
9 August 2018 A novel correlation method of microwave staring correlated imaging based on multigrid and LSQR
Author Affiliations +
Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108064W (2018) https://doi.org/10.1117/12.2502954
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
Based on the temporal-spatial stochastic radiation field, microwave staring correlated imaging (MSCI) can achieve high resolution reconstruction of the target. When MCSI is applied in remote sensing, the imaging area will be very large. With the increasing of imaging equation scale, the ill-conditioned problem will seriously influence the resolution of imaging. This paper focuses on the algorithm to realize high-resolution MSCI in condition of large imaging area. Inspired by multigrid (MG) method, we use multigrid (MG) method to decrease the low-frequency error and highfrequency error of the solution by dealing with the imaging equation in different scales. Furthermore, we apply Least Square QR-factorization (LSQR) algorithm to solve the large scale ill-conditioned equation. We name the new algorithm as MG-LSQR. Simulation results show that the proposed algorithm could increase the resolution efficiently in condition of large imaging area.
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Guochao Wang, Guanghua Lu, and Tingting Qian "A novel correlation method of microwave staring correlated imaging based on multigrid and LSQR", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064W (9 August 2018); https://doi.org/10.1117/12.2502954
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KEYWORDS
Reconstruction algorithms

Magnesium

Microwave radiation

Detection and tracking algorithms

Image resolution

Radar

Radar imaging

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