Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Comparison of the Rayleigh and K-Distributions for Application in Incoherent Change Detection
Federal University of Santa Maria, BRA.ORCID-id: 0000-0003-0626-0316
Saab Surveillance AB, SWE.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.ORCID-id: 0000-0002-6643-312x
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för matematik och naturvetenskap.ORCID-id: 0000-0003-3945-8951
Vise andre og tillknytning
2019 (engelsk)Inngår i: IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, E-ISSN 1558-0571, Vol. 16, s. 756-760Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The aim of this letter is to compare two incoherent change-detection algorithms for target detection in low-frequency ultrawideband (UWB) synthetic aperture radar (SAR) images. The considered UWB SAR operates in the frequency range from 20 to 90 MHz. Both approaches employ a likelihood ratio test according to the Neyman–Pearson criterion. First, the bivariate Rayleigh probability distribution is used to implement the likelihood ratio test function. This distribution is well known and has been used for change-detection algorithms in low-frequency UWB SAR with good results. Aiming to minimize the false alarm rate and taking into consideration that low-frequency UWB SAR images have high resolution compared to the transmitted wavelength, the second approach implements the test by using a bivariate K-distribution. This distribution has scale and shape parameters that can be used to adjust it to the data. No filter is applied to the data set images, and the results show that with a good statistical model, it is not needed to rely on filtering the data to decrease the number of false alarms. Therefore, we can have a better tradeoff between resolution and detection performance.

sted, utgiver, år, opplag, sider
IEEE, 2019. Vol. 16, s. 756-760
Emneord [en]
Change detection, likelihood ratio test, synthetic aperture radar (SAR).
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-17863DOI: 10.1109/LGRS.2018.2881733ISI: 000466228400019OAI: oai:DiVA.org:bth-17863DiVA, id: diva2:1307981
Tilgjengelig fra: 2019-04-30 Laget: 2019-04-30 Sist oppdatert: 2019-06-14bibliografisk kontrollert

Open Access i DiVA

fulltext(1071 kB)71 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1071 kBChecksum SHA-512
f564eec521b71e191cb9963503cb60749c2d4802743e108f8f9a63a5d2c0e5ecb013e40890e8a0d4590a58899a0dbd4bd26d2625eeef6eefbdbe0ed387248372
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Personposter BETA

Pettersson, MatsVu, Viet Thuy

Søk i DiVA

Av forfatter/redaktør
Gomes, Natanael RodriguesPettersson, MatsVu, Viet Thuy
Av organisasjonen
I samme tidsskrift
IEEE Geoscience and Remote Sensing Letters

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 71 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 160 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf