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- W2891945311 abstract "To reduce the data acquisition time and the high-level sidelobes produced by conventional focusing methods for ground-based synthetic aperture radar interferometry, we present a new method to provide accurate displacement maps based on the dimension-reduced compressive sensing (CS) method combined with the multiple measurement vectors (MMVs) model. The proposed CS method consists in selecting the supported area of targets, estimated by the fast conventional method with undersampled data. The following sparse reconstruction is applied only to the selected areas. The MMV-based approach allows increasing the coherence and the precision of displacement estimates. Two experiments are carried out to assess the performance of the proposed method." @default.
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- W2891945311 date "2019-01-01" @default.
- W2891945311 modified "2023-09-26" @default.
- W2891945311 title "GB-SAR Interferometry Based on Dimension-Reduced Compressive Sensing and Multiple Measurement Vectors Model" @default.
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- W2891945311 doi "https://doi.org/10.1109/lgrs.2018.2866600" @default.
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