Glacier surface velocity measure based on polarimetric tracking

Esra Erten; Olga Chesnokova; Irena Hajnsek; Andreas Reigber; Laurent Ferro-Famil

doi:10.1109/IGARSS.2012.6350763

Glacier surface velocity measure based on polarimetric tracking

Esra Erten^*, Olga Chesnokova, Irena Hajnsek, Andreas Reigber, Laurent Ferro-Famil

^*Bu çalışma için yazışmadan sorumlu yazar

Geomatik Mühendisliği Bölümü

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

1 Atıf (Scopus)

Özet

The contribution of Polarimetric Synthetic Aperture Radar (PolSAR) images compared with the single-channel SAR in terms of temporal scene characterization has been found and described to add valuable information in the literature. Recently, a new PolSAR tracking algorithm has been proposed for glacier surface velocity monitoring. The proposed polarimetric tracking method applies Mutual Information (MI) to measure the statistical dependence between temporal polarimetric images, which is assumed to be maximum if the images are geometrically aligned. In this paper, its implementation of interest will be investigated.

Orijinal dil	İngilizce
Sayfalar	3126-3129
Sayfa sayısı	4
DOI'lar	https://doi.org/10.1109/IGARSS.2012.6350763
Yayın durumu	Yayınlandı - 2012
Etkinlik	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Süre: 22 Tem 2012 → 27 Tem 2012

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???event.eventtypes.event.conference???	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Ülke/Bölge	Germany
Şehir	Munich
Periyot	22/07/12 → 27/07/12

Belgeye Erişim

10.1109/IGARSS.2012.6350763

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Glacier surface velocity measure based on polarimetric tracking",

abstract = "The contribution of Polarimetric Synthetic Aperture Radar (PolSAR) images compared with the single-channel SAR in terms of temporal scene characterization has been found and described to add valuable information in the literature. Recently, a new PolSAR tracking algorithm has been proposed for glacier surface velocity monitoring. The proposed polarimetric tracking method applies Mutual Information (MI) to measure the statistical dependence between temporal polarimetric images, which is assumed to be maximum if the images are geometrically aligned. In this paper, its implementation of interest will be investigated.",

keywords = "cryosphere, Glacier monitoring, Mutual Information, Polarimetry, Synthetic Aperture Radar (SAR)",

author = "Esra Erten and Olga Chesnokova and Irena Hajnsek and Andreas Reigber and Laurent Ferro-Famil",

year = "2012",

doi = "10.1109/IGARSS.2012.6350763",

language = "English",

pages = "3126--3129",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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TY - CONF

T1 - Glacier surface velocity measure based on polarimetric tracking

AU - Erten, Esra

AU - Chesnokova, Olga

AU - Hajnsek, Irena

AU - Reigber, Andreas

AU - Ferro-Famil, Laurent

PY - 2012

Y1 - 2012

N2 - The contribution of Polarimetric Synthetic Aperture Radar (PolSAR) images compared with the single-channel SAR in terms of temporal scene characterization has been found and described to add valuable information in the literature. Recently, a new PolSAR tracking algorithm has been proposed for glacier surface velocity monitoring. The proposed polarimetric tracking method applies Mutual Information (MI) to measure the statistical dependence between temporal polarimetric images, which is assumed to be maximum if the images are geometrically aligned. In this paper, its implementation of interest will be investigated.

AB - The contribution of Polarimetric Synthetic Aperture Radar (PolSAR) images compared with the single-channel SAR in terms of temporal scene characterization has been found and described to add valuable information in the literature. Recently, a new PolSAR tracking algorithm has been proposed for glacier surface velocity monitoring. The proposed polarimetric tracking method applies Mutual Information (MI) to measure the statistical dependence between temporal polarimetric images, which is assumed to be maximum if the images are geometrically aligned. In this paper, its implementation of interest will be investigated.

KW - cryosphere

KW - Glacier monitoring

KW - Mutual Information

KW - Polarimetry

KW - Synthetic Aperture Radar (SAR)

UR - http://www.scopus.com/inward/record.url?scp=84873164020&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2012.6350763

DO - 10.1109/IGARSS.2012.6350763

M3 - Paper

AN - SCOPUS:84873164020

SP - 3126

EP - 3129

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Glacier surface velocity measure based on polarimetric tracking

Özet

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

Belgeye Erişim

Diğer Dosyalar ve Linkler

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Alıntı Yap