مؤتمر
Non-parametric functional methods for hyperspectral image classification
| العنوان: | Non-parametric functional methods for hyperspectral image classification |
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| المؤلفون: | Zullo, Anthony, Fauvel, Mathieu, Ferraty, Frédéric, Goulard, Michel, Vieu, Philippe |
| المساهمون: | Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse ENSAT -Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut de Mathématiques de Toulouse UMR5219 (IMT), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | IEEE International Geoscience and Remote Sensing Symposium Proceedings ; IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ; https://hal.inrae.fr/hal-02740723Test ; IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2014, Quebec, Canada. pp.4, ⟨10.1109/IGARSS.2014.6947217⟩ |
| بيانات النشر: | HAL CCSD IEEE |
| سنة النشر: | 2014 |
| المجموعة: | Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
| مصطلحات موضوعية: | Curse of dimensionality, hyperspectral image classification, nonparametric functional model, statistical method, [SDV]Life Sciences [q-bio], [SHS]Humanities and Social Sciences |
| جغرافية الموضوع: | Quebec |
| الوقت: | Quebec, Canada |
| الوصف: | International audience ; The objective of this article is to assess the relevance of a statistical method for hyperspectral image classification. We focus on the implementation of a functional method whose main objective is to consider each hyperspectrum as a continuous curve in order to predict its associated class. The implemented functional nonparametric discrimination method is a recently developed technique whose performance are greatly dependent on the choice of a "proximity measure". Behavior in practice of this method has been compared with three more standard others on two sets of hyperspectral data with supervised classification for 50 independent sets using a classification error rate criterion. Experimental results show that this method provides an interesting alternative to conventional methods. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| ردمك: | 978-1-4799-5775-0 1-4799-5775-5 |
| العلاقة: | hal-02740723; https://hal.inrae.fr/hal-02740723Test; PRODINRA: 372145; WOS: 000349688104179 |
| DOI: | 10.1109/IGARSS.2014.6947217 |
| الإتاحة: | https://doi.org/10.1109/IGARSS.2014.6947217Test https://hal.inrae.fr/hal-02740723Test |
| رقم الانضمام: | edsbas.E73FAC9F |
| قاعدة البيانات: | BASE |
| ردمك: | 9781479957750 1479957755 |
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| DOI: | 10.1109/IGARSS.2014.6947217 |