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High Resolution Imaging and Target Classification, 2006. The Institution of Engineering and Technology Seminar on

Date Nov. 2006

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  • Covers

    Publication Year: 2006 , Page(s): C1
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  • The Institution of Engineering and Technology Seminar on High Resolution Imaging and Target Classification

    Publication Year: 2006 , Page(s): nil2
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  • Copyright page

    Publication Year: 2006 , Page(s): nil3 - nil4
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  • Commentary

    Publication Year: 2006 , Page(s): nil5
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  • Contents

    Publication Year: 2006 , Page(s): nil6
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  • Programme

    Publication Year: 2006 , Page(s): nil8
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  • Keynote Address: High Resolution Imaging and Target Classification

    Publication Year: 2006 , Page(s): 1
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (40 KB)  

    First Page of the Article
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  • Target Classification for Air Defence Radars

    Publication Year: 2006 , Page(s): 3 - 16
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (3821 KB)  

    Radar is evolving rapidly from being a sensor which detects and tracks targets to a high resolution imaging sensor with target classification capabilities. This paper addresses the techniques being developed for air defence radars. The application of target classification functions in fire control radars which support missile systems and multi-function phased array radars is discussed. The main hi... View full abstract»

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  • Target Classification by Radar

    Publication Year: 2006 , Page(s): 17 - 28
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (4910 KB)  

    Target classification by radar has enormous potential with many important applications. So far, with a couple of notable exceptions, this has proved to be an extremely challenging problem with no obvious solution. The chief method for improving the quality of information gathered has been to improve resolution in both range and cross-range dimensions. Recent advances, chiefly in digital technology... View full abstract»

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  • Automatic Target Recognition: The Problems of Data Separability and Decision Making

    Publication Year: 2006 , Page(s): 29 - 37
    Cited by:  Patents (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (4311 KB)  

    This paper treats the problem of target recognition as a decision process. The nature of the decision to be made has a bearing on the data gathered and the subsequent processing. A key factor in the processing is the separability, i.e., the ability to distinguish, of radar images of similar but distinct objects. A number of recognition algorithms are considered and their suitability for data sets ... View full abstract»

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  • High Resolution Radar Imaging of the Sea Surface

    Publication Year: 2006 , Page(s): 39 - 52
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (4914 KB)  

    Applications are reviewed of high resolution radar sea surface imagery to remote sensing, wide area surveillance, target detection and tracking. The limitations imposed by sea surface motion on SAR imaging are discussed and illustrated, along with methods to exploit the motion such as along track interferometry. Ships on the sea are subject to roll, pitch and yaw motions, which defocus SAR imagery... View full abstract»

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  • SAR 3D Scene Reconstruction Using Fourier Imaging Techniques

    Publication Year: 2006 , Page(s): 53 - 60
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (2742 KB)  

    Synthetic aperture radar (SAR) images are conventionally collected from platforms following a straight and level flight path. The resulting Fourier domain data exist on a 2D plane which is projected onto the ground plane for imaging, producing a 2D image of the target scene. To obtain a 3D image of the target scene interferometric SAR is typically employed, this involves determining the phase diff... View full abstract»

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  • Flash and Persistent Point Scatterer Feature Extraction from Radar Images

    Publication Year: 2006 , Page(s): 61 - 79
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (8897 KB)  

    The talk will discuss the modelling of flashes buried within radar range compressed, or raw data. It will be shown how variants of the CLEAN algorithm can speedily efficiently extract all the flashes. Persistent point scatterers are regarded here as a special case of flashes, of long duration in the time/angle domain. A `flash representation' of a target closely related to its ISAR image is shown.... View full abstract»

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  • Database Generation for Non-Cooperative Air Target Identification

    Publication Year: 2006 , Page(s): 81 - 82
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (152 KB)  

    Summary form only given. In this paper we will discuss the approach that we have evolved for populating a database with representative training data for the purpose of non-cooperative target identification (NCTI) of air targets by radar. Such NCTI should help to augment procedures like IFF to reduce the risk of fratricide and allow early designation of targets such that threats can be engaged befo... View full abstract»

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  • Target Classification Using Bistatic SAR Images

    Publication Year: 2006 , Page(s): 83 - 98
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (7517 KB)  

    In a radar system, a bistatic configuration is the more generic version of a monostatic configuration. Hence, it is expected and has also been verified to a large extent, that bistatic configuration can increase the range of applications of radar systems. This has given rise to the recent thrust in research activities in bistatic radar development. However, it is an established convention that the... View full abstract»

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  • Target Recognition in Synthetic Aperture and High Resolution Sidescan Sonar

    Publication Year: 2006 , Page(s): 99 - 106
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (4337 KB)  

    The accurate detection and identification of underwater targets continues as a major issue, despite, or perhaps as a result of, the promise of higher resolution underwater imaging systems, including synthetic aperture sonar and high frequency sidescan. Numerous techniques have been proposed for computer aided detection to detect all possible mine-like objects, and computer aided classification to ... View full abstract»

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  • A Doppler-Based Target Classifier Using Linear Discriminants and Principal Components

    Publication Year: 2006 , Page(s): 107 - 125
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (3807 KB)  

    This paper describes the design of the automatic target classifier which has been introduced into the AMSTAR battlefield surveillance radar. It discusses the requirements which have driven the design of the classifier, the data which is used to make the classification, the choice of linear discriminant analysis as one of the classification techniques used and the use of principal components analys... View full abstract»

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  • Template Based Micro-Doppler Signature Classification

    Publication Year: 2006 , Page(s): 127 - 144
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (8172 KB)  

    The micro-Doppler signature of a target is a time varying frequency modulation imparted on the radar echo signal by moving components of the target. Battlefield radar output the baseband signal as audio and soldiers listening on headphones are able to identify the target from its micro-Doppler signature. Automation of this capability is desirable for improved reliability and reduction in classific... View full abstract»

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  • The Application of Speech Recognition Techniques to Radar Target Doppler Recognition: A Case Study

    Publication Year: 2006 , Page(s): 145 - 152
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1655 KB)  

    This paper reports some preliminary results of an examination into the feasibility of recognising the Doppler signatures of targets using speech recognition processing techniques. The rationale is that human operators typically listen to the Doppler audio output from the surveillance radar to detect and possibly identify targets. A feature of speech recognition is that pre-processing is used that ... View full abstract»

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  • Covers

    Publication Year: 2006 , Page(s): C2
    Save to Project icon | PDF file iconPDF (407 KB)  
    Freely Available from IEEE