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Polarimetric synthetic aperture radar (PolSAR) image classification, an important technique in the remote sensing area, has been deeply studied for a couple of decades. In order to develop a robust automatic or semiautomatic classification system for PolSAR images, two important problems should be addressed: 1) incorporation of spatial relations between(More)
This work considers the robust sparse recovery problem in compressive sensing (CS) in the presence of impulsive measurement noise. We propose a robust formulation for sparse recovery using the generalized `p-norm with 0 < p < 2 as the metric for the residual error under `1-norm regularization. An alternative direction method (ADM) has been proposed to solve(More)
This work deals with source localization with time-difference-of-arrival (TDOA) measurements in two-dimensional (2-D) scenarios. Although the celebrated two-step weighted least squares (2WLS) method is quite successful, its drawback lies in an ill-conditioning problem when the sensor array is quasi-linear. This work presents a multidimensional scaling(More)
This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements. Unlike conventional arts in compressed sensing, the frequencies follow an off-the-grid formulation and are continuously valued in [0, 1]. As an extension of atomic norm, the(More)
With the inverse synthetic aperture radar (ISAR) imaging model, targets should move smoothly during the coherent processing interval (CPI). Since the CPI is quite long, fluctuations of a target’s velocity and gesture will deteriorate image quality. This paper presents a multiple-input–multiple-output (MIMO)-ISAR imaging method by combining MIMO techniques(More)
We propose a novel 6-degree-of-freedom (DoF) visual simultaneous localization and mapping (SLAM) method based on the structural regularity of man-made building environments. The idea is that we use the building structure lines as features for localization and mapping. Unlike other line features, the building structure lines encode the global orientation(More)