Using time series to improve endmembers estimation on multispectral images for snow monitoring
Autor: | M. Dalla Mura, Marie Dumont, T. Masson, Jocelyn Chanussot |
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Přispěvatelé: | Laboratoire de Physique Théorique d'Orsay [Orsay] (LPT), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11), Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Science et Ingénierie des Matériaux et Procédés (SIMaP ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]) |
Rok vydání: | 2017 |
Předmět: |
Abundance estimation
Computer science Multispectral image 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Coherence (statistics) Snow 13. Climate action 0202 electrical engineering electronic engineering information engineering False positive rate Moderate-resolution imaging spectroradiometer Time series [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Image resolution ComputingMilieux_MISCELLANEOUS 021101 geological & geomatics engineering Remote sensing |
Zdroj: | IGARSS 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, France. ⟨10.1109/IGARSS.2017.8126937⟩ |
Popis: | We propose to use the temporal coherence of a time series to extract using Vertex Component Analysis (VCA) the suitable set of endmembers for each scene. The reconstruction error computed on the two previous scenes for each date is used to constrain the selection of the set of endmembers produced by VCA. Snow cover estimation is considered as application. We tested different approaches for abundance estimation (FCLSU, SUnSAL, ELMM) over the French Alps from Moderate Resolution Imaging Spectroradiometer (MODIS) images. Results shows a decrease of the false positive rate with the proposed approach. |
Databáze: | OpenAIRE |
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