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Dictionary learning-based approach for sar image reconstruction (Sar imgelerinin geri çatılması için sözlük öğrenimi tabanlı bir yöntem)

Soğanlı, Abdurrahim and Çetin, Müjdat (2014) Dictionary learning-based approach for sar image reconstruction (Sar imgelerinin geri çatılması için sözlük öğrenimi tabanlı bir yöntem). In: 22nd Signal Processing and Communications Applications Conference (SIU 2014), Trabzon, Turkey

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Official URL: http://dx.doi.org/10.1109/SIU.2014.6830675

Abstract

Recently there has been growing interest on the study of sparse representation-based SAR imaging with the assumption that the underlying SAR scenes exhibit sparsity with respect to SAR image features such as point scatterers and edges of smooth regions. Since the phase of the SAR reflectivity is random, these methods have been employed to magnitude of the complex valued SAR data. Pre-defined overcomplete dictionaries are used for these methods. In this paper we propose a dictionary learning-based SAR image reconstruction method. Our proposed model learns the dictionary from training set of images. We validate our method on synthetic SAR image.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:Synthetic aperture radar, dictionary learning, image reconstruction
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:25675
Deposited By:Müjdat Çetin
Deposited On:15 Dec 2014 15:01
Last Modified:15 Dec 2014 15:01

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