In this paper, we present a combined dictionary that simultaneously enhances multiple types of scattering mechanism. Trained by different kinds of SAR image ...

Feb 9, 2018 · In this paper, we present a combined dictionary that simultaneously enhances multiple types of scattering mechanism. Trained by different kinds ...

Abstract. Sparse representation (SR)-based SAR imaging has shown its superior capability in high-resolution image formation. For SR-based SAR.

a. Start with an initial estimate of f that could be its conventional reconstruction. Using this f, an initial estimate of the image phase matrix, ...

Dec 25, 2012 · This method is developed based on the sparse representation of the magnitude of the scattered complex-valued field, composed of appropriate ...

This paper presents an image formation method that formulates the SAR imaging problem as a sparse signal representation problem.

SRC determines a class label of test image based on its sparse linear combination with a dictionary composed by training samples. ... Radar Target ...

... sparse signal representation based on combined ... Recently, a technique for SAR imaging based on sparse signal representation has been developed [7].

In this paper we propose a novel signal processing algorithm for joint SAR image formation and autofocus in a synthesis dictionary based sparse represen-.

Apr 26, 2019 · Subdictionary-Based Joint Sparse Representation for SAR Target Recognition Using Multilevel Reconstruction. Abstract: Template-matching-based ...