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A CFAR optimization for low frequency UWB SAR change detection algorithms
Universidade Federal de Santa Maria, BRA.
Universidade Federal de Santa Maria, BRA.
Universidade Federal do Pampa, BRA.
Universidade Federal de Santa Maria, BRA.
Vise andre og tillknytning
2017 (engelsk)Inngår i: International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc. , 2017, s. 1071-1074Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper presents a study on the constant false alarm rate (CFAR) filter design for change detection algorithms (CDA). More specifically, we are interested in CFAR filters used in CDA for low frequency ultra-wideband (UWB) synthetic aperture radar (SAR) systems. The filter design performance was evaluated in terms of false alarm rate (FAR) and probability of detection (PD). For evaluation purposes, we considered a set of SAR images obtained with the CARABAS-II system. The results are compared with the ones presented in [1], where the same CDA was considered, except for the CFAR filter. The results show that relevant FAR performance improvements can be obtained by just modifying the CFAR filter parameters taking into account the image resolution and target characteristics. © 2017 IEEE.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers Inc. , 2017. s. 1071-1074
Serie
IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN 2153-6996
Emneord [en]
CARABAS-II, CDA, CFAR, UWB SAR
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-15925DOI: 10.1109/IGARSS.2017.8127141ISI: 000426954601057Scopus ID: 2-s2.0-85041815057ISBN: 9781509049516 (tryckt)OAI: oai:DiVA.org:bth-15925DiVA, id: diva2:1184811
Konferanse
37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Fort Worth
Tilgjengelig fra: 2018-02-22 Laget: 2018-02-22 Sist oppdatert: 2018-04-12bibliografisk kontrollert

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