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Image analysis for airborne reconnaissance and missile applications
KTH, Superseded Departments, Physics.
2000 (English)In: Pattern Recognition Letters, ISSN 0167-8655, Vol. 21, no 3, 239-251 p.Article in journal (Refereed) Published
Abstract [en]

This paper describes how the pulse coupled neural network (PCNN) can be used in various image analysis applications. We especially focus on two time-critical applications, in particular, airborne reconnaissance and missile navigation. Today, biologically inspired sensor analysis systems such as the PCNN can be used in many different applications related to these two major applications. New ideas are shown on how to use PCNN in combination with other image processing transforms, e.g. the Radon transform and foveation point detection to solve image interpretation and missile navigation problems. This includes solving tasks such as image segmentation, object detection and target identification. Finally, a VHDL implementation of the PCNN targeting FPGA is presented.

Place, publisher, year, edition, pages
2000. Vol. 21, no 3, 239-251 p.
Keyword [en]
image analysis, neural networks, PCNN, FPGA, VHDL
Identifiers
URN: urn:nbn:se:kth:diva-19620ISI: 000085862900005OAI: oai:DiVA.org:kth-19620DiVA: diva2:338312
Note
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

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