Human system interface (HSI) issues in assisted target recognition (ASTR)

Kuperman, Gilbert G.

doi:10.1109/naecon.1997.617759

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…Kuperman (1997) states that "The transformation of data into information is a value-adding process." In the geospatial domain, search tools are focused on structuring results based on physical location.…”

Section: Data Transformationmentioning

confidence: 99%

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Development and Application of an Analyst Process Model for a Search Task Scenario

Hendrickson¹,

Fendley²

2013

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Section: Data Transformationmentioning

confidence: 99%

“…(based on Kuperman, 1997) As shown in Figure 1, when a scenario task or topic is introduced, the initial step is to search and filter data based on the scenario or topic. This applies contextual framing which structures the data and yields information.…”

Section: Figure 1: Data Transformation Into Understandingmentioning

confidence: 99%

Development and Application of an Analyst Process Model for a Search Task Scenario

Hendrickson¹,

Fendley²

2013

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“…Target recognition display contents are not the all-time attention ones, they do not need to be displayed all the time [10] [11] . So high-precision data window, HRRP window and recognition result window are appended on the radar display and control terminal.…”

Section: Functionmentioning

confidence: 99%

Returns Acquiring and HRRP Imaging for Radar Ship Target Recognition

Zhang¹,

Du²,

Hu³

2011

2011 Second International Conference on Digital Manufacturing &Amp; Automation

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Target recognition is one of the must trends of the sea surveillance radar, and the accuracy of target recognition is dependent on the radar's acquiring capability of target electromagnetic signature. Firstly according to the low-resolution pulse mode of the sea surveillance radar, this paper studies a new technique of single-channel hard sampling and multi-channel soft extracting to provide versatile return data simultaneously for the target detection, display and coarse-classification. Many statistic features such as silk afterglow, notch, bounce and twist can be extracted from high-precision return sequences, which can be used for coarse target classification. A field programmable gate array (FPGA) algorithm of intermediate frequency (IF) direct sampling and high resolution range profile (HRRP) imaging is also proposed in the paper aiming at the wide-band imaging mode of the sea surveillance radar. The scatter centers distribution features can be extracted from HRRP image to evaluate the length and width of the target. Assembling the two working modes, a method of the informational radar display & control terminal (IRDACT) is performed, which can improve the recognition capability of the sea surveillance radar.

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“…Research has indicated that each warfighter must have an effective interface client that focuses information on the immediate task [1]. Furthermore, that information must be presented in such a way to assist the operator in making a decision, rather than making the decision for him [3].…”

Section: Introductionmentioning

confidence: 99%