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Algoritmer för objektdetektering i SAR och IR-bilder
Linköpings universitet, Institutionen för systemteknik.
2003 (Svenska)Independent thesis Basic level (professional degree)OppgaveAlternativ tittel
Algorithms for detection of objects in SAR and IR-images
Abstract [en]

The first part of the thesis consists of a brief introduction to the general principles of target detection and the sensor-systems used. In the following part there is a theoretical description of the algorithms this thesis focuses on. The detection algorithms described in this paper are called Cell Average, Ordered Statistics, 2parameter and Gammadetector. Two different discriminators called Extended Fractal Features and Quadratic Gamma Discriminator are also described. The algorithms are tested on three different types of data, simulated SAR-pictures, authentic SAR-targets and IR-pictures. The last part account for the results, both those achieved with pictures and those results achieved when doing statistical tests, in this case MonteCarlo- simulations and Reciever Operating Characteristics-curves. The results show that the Gamma- detector and the QGD-algorithm perform best on the tests done in this thesis.

sted, utgiver, år, opplag, sider
Institutionen för systemteknik , 2003. , s. 71
Serie
LiTH-ISY-Ex ; 3320
Emneord [en]
Reglerteknik, SAR, IR, detektion, diskriminering, algoritm
Emneord [sv]
Reglerteknik
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-1596OAI: oai:DiVA.org:liu-1596DiVA, id: diva2:18920
Uppsök
teknik
Tilgjengelig fra: 2003-02-12 Laget: 2003-02-12

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