An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images

Esra Erten; Andreas Reigber; Olaf Hellwich; Pau Prats

doi:10.1109/IGARSS.2009.5417411

An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images

Esra Erten^*
, Andreas Reigber
, Olaf Hellwich
, Pau Prats

^*Bu çalışma için yazışmadan sorumlu yazar

German Aerospace Center
Technical University of Berlin

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

In this paper, the accuracy assessment of the recently proposed Maximum Likelihood (ML) texture tracking algorithm is discussed. Its comparison with the well known texture tracking technique, i.e., Normalized Incoherent Cross Correlation (NICC), has also been investigated in the case of the presence of multiplicative noise structure.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
Sayfalar	IV454-IV457
DOI'lar	https://doi.org/10.1109/IGARSS.2009.5417411
Yayın durumu	Yayınlandı - 2009
Harici olarak yayınlandı	Evet
Etkinlik	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa Süre: 12 Tem 2009 → 17 Tem 2009

Yayın serisi

Adı	International Geoscience and Remote Sensing Symposium (IGARSS)
Hacim	4

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???event.eventtypes.event.conference???	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Ülke/Bölge	South Africa
Şehir	Cape Town
Periyot	12/07/09 → 17/07/09

Belgeye Erişim

10.1109/IGARSS.2009.5417411

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Erten, E., Reigber, A., Hellwich, O., & Prats, P. (2009). An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings (pp. IV454-IV457). Makale 5417411 (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 4). https://doi.org/10.1109/IGARSS.2009.5417411

@inproceedings{fd7bcb4337be411bae98a2156dc29688,

title = "An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images",

abstract = "In this paper, the accuracy assessment of the recently proposed Maximum Likelihood (ML) texture tracking algorithm is discussed. Its comparison with the well known texture tracking technique, i.e., Normalized Incoherent Cross Correlation (NICC), has also been investigated in the case of the presence of multiplicative noise structure.",

keywords = "Bivariate gamma distribution, Cramer-Rao Lower Bound (CRLB), Incoherent normalized cross correlation, Texture tracking",

author = "Esra Erten and Andreas Reigber and Olaf Hellwich and Pau Prats",

year = "2009",

doi = "10.1109/IGARSS.2009.5417411",

language = "English",

isbn = "9781424433957",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "IV454--IV457",

booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",

note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",

}

Erten, E, Reigber, A, Hellwich, O & Prats, P 2009, An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images. in 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings., 5417411, International Geoscience and Remote Sensing Symposium (IGARSS), hac. 4, pp. IV454-IV457, 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town, South Africa, 12/07/09. https://doi.org/10.1109/IGARSS.2009.5417411

An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images. / Erten, Esra; Reigber, Andreas; Hellwich, Olaf et al.
2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. IV454-IV457 5417411 (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 4).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images

AU - Erten, Esra

AU - Reigber, Andreas

AU - Hellwich, Olaf

AU - Prats, Pau

PY - 2009

Y1 - 2009

N2 - In this paper, the accuracy assessment of the recently proposed Maximum Likelihood (ML) texture tracking algorithm is discussed. Its comparison with the well known texture tracking technique, i.e., Normalized Incoherent Cross Correlation (NICC), has also been investigated in the case of the presence of multiplicative noise structure.

AB - In this paper, the accuracy assessment of the recently proposed Maximum Likelihood (ML) texture tracking algorithm is discussed. Its comparison with the well known texture tracking technique, i.e., Normalized Incoherent Cross Correlation (NICC), has also been investigated in the case of the presence of multiplicative noise structure.

KW - Bivariate gamma distribution

KW - Cramer-Rao Lower Bound (CRLB)

KW - Incoherent normalized cross correlation

KW - Texture tracking

UR - https://www.scopus.com/pages/publications/77951268628

U2 - 10.1109/IGARSS.2009.5417411

DO - 10.1109/IGARSS.2009.5417411

M3 - Conference contribution

AN - SCOPUS:77951268628

SN - 9781424433957

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - IV454-IV457

BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings

T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

Y2 - 12 July 2009 through 17 July 2009

ER -

An accuracy assessment of ML texture tracking algorithm over multitemporal SAR images

Özet

Yayın serisi

???event.eventtypes.event.conference???

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap