NDLI: Decision fusion using virtual dictionary-based sparse representation for robust SAR automatic target recognition

Content Provider	IET Digital Library
Author	Shafie, Behrouz Mojarad Moallem, Payman Sabahi, Mohamad Farzan
Abstract	Sparse representation displays remarkable characteristics when applied to image processing and classification. The critical point in the success of sparse representation-based classification is to learn an authentic dictionary. The present study proposes a virtual dictionary-based sparse representation for automatic target recognition. Based on the properties of the synthetic aperture radar (SAR) images, some low complexity modules including adding speckle noise, histogram equalisation mapping, and bicubic interpolation are applied to construct some virtual compact dictionaries using Fisher discriminative dictionary learning. These dictionaries have different discriminative information on targets, which are used independently in several sparse representation-based classifiers. The reconstruction error vectors of the latter classifiers are then combined to recognise the target using decision fusion. Based on experimental results obtained drawing upon moving and stationary target acquisition and recognition data set, the proposed method presents the highest accuracy in classification reported yet in the literature. Furthermore, the procedure improves the recognition robustness against most commonly extended operating conditions, e.g. speckle noise corruption, depression angle variation and reduced training set. Accordingly, the current study claims a robust parallel method of high real-time ability in the target recognition of SAR images applicable to practical situations.
Starting Page	811
Ending Page	821
Page Count	11
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 6, Jun (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0423
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-12-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authentic Dictionary Computer Vision And Image Processing Technique Decision Fusion Electrical Engineering Computing Fisher Discriminative Dictionary Learning Image Classification Image Recognition Image Reconstruction Image Representation Interpolation Interpolation And Function Approximation Knowledge Engineering Technique Learning in AI Numerical Analysis Radar Computing Radar Equipment Radar Imaging Radar Target Recognition Recognition Data Robust SAR Automatic Target Recognition Sparse Representation Displays Remarkable Characteristic Sparse Representation-based Classification Sparse Representation-based Classifier Speckle Stationary Target Acquisition Synthetic Aperture Radar Synthetic Aperture Radar Image System And Application Virtual Compact Dictionaries Virtual Dictionary-based Sparse Representation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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