Shape-constrained segmentation approach for Arctic multiyear sea ice floe analysis

Abstract : The melting of sea ice is correlated to increases in sea surface temperature and associated climatic changes. Therefore, it is important to investigate how rapidly sea ice floes melt. For this purpose, a new TempoSeg method for multitemporal segmentation of multiyear ice floes is proposed. The microwave radiometer is used to track the position of an ice floe. Then, a time series of MODIS images are created with the ice floe in the image center. A TempoSeg method is performed to segment these images into two regions: Floe and Background. First, morphological feature extraction is applied. Then, the central image pixel is marked as Floe, and shape-constrained best merge region growing is performed. The resulting two-region map is post-filtered by applying morphological operators. We have successfully tested our method on a set of MODIS images and estimated the area of a sea ice floe as a function of time.
Type de document :
Communication dans un congrès
IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. 2012
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00729033
Contributeur : Yuliya Tarabalka <>
Soumis le : vendredi 7 septembre 2012 - 12:04:43
Dernière modification le : jeudi 11 janvier 2018 - 16:57:40
Document(s) archivé(s) le : vendredi 16 décembre 2016 - 10:35:31

Fichier

2012_IGARSS_Tarabalka_Ice.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00729033, version 1

Collections

Citation

Yuliya Tarabalka, Ludovic Brucker, Alvaro Ivanoff, James Tilton. Shape-constrained segmentation approach for Arctic multiyear sea ice floe analysis. IEEE IGARSS - International Geoscience and Remote Sensing Symposium, Jul 2012, Munich, Germany. 2012. 〈hal-00729033〉

Partager

Métriques

Consultations de la notice

187

Téléchargements de fichiers

159