Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data
International audience Automated segmentation of the sea ice evolution would allow scientists studying climate change to build accurate models of the sea ice meltdown process, which is a sensitive climate indicator. In this paper, we propose a novel approach which uses shape analysis and graph-based...
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fttriple:oai:gotriple.eu:10670/1.zfqys4 2023-05-15T18:16:19+02:00 Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data Price, Claudio Tarabalka, Yuliya Brucker, Ludovic Models of spatio-temporal structure for high-resolution image processing (AYIN) Inria Sophia Antipolis - Méditerranée (CRISAM) Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria) Departamento de Matematica Valparaiso Universidad Tecnica Federico Santa Maria Valparaiso (UTFSM) NASA Goddard Space Flight Center (GSFC) Santiago, Chile 2013-10-23 https://hal.inria.fr/hal-00874537/file/price.pdf https://hal.inria.fr/hal-00874537 en eng HAL CCSD hal-00874537 10670/1.zfqys4 https://hal.inria.fr/hal-00874537/file/price.pdf https://hal.inria.fr/hal-00874537 other Hyper Article en Ligne - Sciences de l'Homme et de la Société Latin American Remote Sensing Week Latin American Remote Sensing Week, Oct 2013, Santiago, Chile geo envir Conference Output https://vocabularies.coar-repositories.org/resource_types/c_c94f/ 2013 fttriple 2023-01-22T16:46:45Z International audience Automated segmentation of the sea ice evolution would allow scientists studying climate change to build accurate models of the sea ice meltdown process, which is a sensitive climate indicator. In this paper, we propose a novel approach which uses shape analysis and graph-based optimization for segmentation of a multiyear ice floe from time series of satellite images. Differently of the state-of-the-art sea ice segmentation techniques, the new method does not rely on the coherence of the intensity values between successive time moments, but only on the coherence of the shape. We successfully validated the performance of the proposed approach on a set of AMSR-E and MODIS images and estimated the area of a sea ice floe as a function of time. Other/Unknown Material Sea ice Unknown |
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geo envir Price, Claudio Tarabalka, Yuliya Brucker, Ludovic Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data |
topic_facet |
geo envir |
description |
International audience Automated segmentation of the sea ice evolution would allow scientists studying climate change to build accurate models of the sea ice meltdown process, which is a sensitive climate indicator. In this paper, we propose a novel approach which uses shape analysis and graph-based optimization for segmentation of a multiyear ice floe from time series of satellite images. Differently of the state-of-the-art sea ice segmentation techniques, the new method does not rely on the coherence of the intensity values between successive time moments, but only on the coherence of the shape. We successfully validated the performance of the proposed approach on a set of AMSR-E and MODIS images and estimated the area of a sea ice floe as a function of time. |
author2 |
Models of spatio-temporal structure for high-resolution image processing (AYIN) Inria Sophia Antipolis - Méditerranée (CRISAM) Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria) Departamento de Matematica Valparaiso Universidad Tecnica Federico Santa Maria Valparaiso (UTFSM) NASA Goddard Space Flight Center (GSFC) |
format |
Other/Unknown Material |
author |
Price, Claudio Tarabalka, Yuliya Brucker, Ludovic |
author_facet |
Price, Claudio Tarabalka, Yuliya Brucker, Ludovic |
author_sort |
Price, Claudio |
title |
Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data |
title_short |
Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data |
title_full |
Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data |
title_fullStr |
Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data |
title_full_unstemmed |
Graph-Based Method for Multitemporal Segmentation of Sea Ice Floes from Satellite Data |
title_sort |
graph-based method for multitemporal segmentation of sea ice floes from satellite data |
publisher |
HAL CCSD |
publishDate |
2013 |
url |
https://hal.inria.fr/hal-00874537/file/price.pdf https://hal.inria.fr/hal-00874537 |
op_coverage |
Santiago, Chile |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société Latin American Remote Sensing Week Latin American Remote Sensing Week, Oct 2013, Santiago, Chile |
op_relation |
hal-00874537 10670/1.zfqys4 https://hal.inria.fr/hal-00874537/file/price.pdf https://hal.inria.fr/hal-00874537 |
op_rights |
other |
_version_ |
1766189863733821440 |