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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Emilien A.に依頼
France

Earth observation scientist

プロフィール概要
専門分野
サービス
Writing Technical Writing
Research Scientific and Technical Research, Systematic Literature Review
Consulting Scientific and Technical Consulting
Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Mining
Product Development Product Validation, Concept Development, Prototyping, Reverse Engineering
職務経験

PhD student

LETG-Rennes-COSTEL

9月 2018 - 現在

Chercheur Postdoctoral

Ifremer Centre de Bretagne

6月 2022 - 12月 2023

学歴

Master (Geography, Remote Sensing and Environment)

University of Rennes 2

9月 2016 - 7月 2018

認定資格
  • 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
Emilien Alvarez-Vanhard, Guglielmo Fernandez Garcia, Thomas Corpetti (2023). Super-Resolution by Fusing Multispectral and Terrain Models: Application to Water Level Mapping . IEEE Geoscience and Remote Sensing Letters.
Emilien Alvarez-Vanhard, Thomas Corpetti, Thomas Houet(2021). UAV & satellite synergies for optical remote sensing applications: A literature review . Science of Remote Sensing. 3. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 100019. Elsevier {BV}
Xing Jin, Ping Tang, Thomas Houet, Thomas Corpetti, Emilien Gence Alvarez-Vanhard, Zheng Zhang(2021). Sequence Image Interpolation via Separable Convolution Network . Remote Sensing. 13. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 296. {MDPI} {AG}
Xing Jin, Ping Tang, Thomas Houet, Thomas Corpetti, Emilien Gence Alvarez-Vanhard, Zheng Zhang (2021). Sequence Image Interpolation via Separable Convolution Network . Remote Sensing.
Emilien Alvarez-Vanhard, Antoine Mury, Antoine Collin, Thomas Houet, Dorothée James(2020). Using Multispectral Drone Imagery for Spatially Explicit Modeling of Wave Attenuation through a Salt Marsh Meadow . Drones. 4. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 25. {MDPI} {AG}
Can UAVs fill the gap between in situ surveys and satellites for habitat mapping? @article{alvarezvanhard:hal-02559702, TITLE = {{Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?}}, AUTHOR = {Alvarez-Vanhard, Emilien and Houet, Thomas and Mony, Cendrine and Lecoq, Lucie and Corpetti, Thomas}, URL = {https://hal.archives-ouvertes.fr/hal-02559702}, JOURNAL = {{Remote Sensing of Environment}}, PUBLISHER = {{Elsevier}}, VOLUME = {243}, PAGES = {111780}, YEAR = {2020}, MONTH = Jun, DOI = {10.1016/j.rse.2020.111780}, PDF = {https://hal.archives-ouvertes.fr/hal-02559702/file/Alvarez-Vanhard_2020.pdf}, HAL_ID = {hal-02559702}, HAL_VERSION = {v1}, } . Remote Sensing of Environment.
Emilien Alvarez-Vanhard, Charlotte Brabant, Achour Laribi, Gwénaël Morin, Kim Thanh Nguyen, Alban Thomas, Thomas Houet(2019). Comparison of Hyperspectral Techniques for Urban Tree Diversity Classification . Remote Sensing. 11. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1269. {MDPI} {AG}
CONFERENCE PAPER
Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques @inproceedings{brabant:halshs-02191097, TITLE = {{Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques}}, AUTHOR = {Brabant, Charlotte and Alvarez-Vanhard, Emilien and Houet, Thomas}, URL = {https://halshs.archives-ouvertes.fr/halshs-02191097}, BOOKTITLE = {{Joint Urban Remote Sensing Event (JURSE 2019)}}, ADDRESS = {Vannes, France}, YEAR = {2019}, MONTH = May, KEYWORDS = {reduction dimension ; classification ; learning methods ; Tree species ; urban area}, PDF = {https://halshs.archives-ouvertes.fr/halshs-02191097/file/JURSE2019_Brabant%26al_V2.pdf}, HAL_ID = {halshs-02191097}, HAL_VERSION = {v1}, } .
Satellite multispectral unmixing by drone data for wet grassland habitats classification @inproceedings{alvarezvanhard:halshs-02191100, TITLE = {{Satellite multispectral unmixing by drone data for wet grassland habitats classification}}, AUTHOR = {Alvarez-Vanhard, Emilien and Lecoq, Lucie and Houet, Thomas and Corpetti, Thomas and Mony, Cendrine}, URL = {https://halshs.archives-ouvertes.fr/halshs-02191100}, BOOKTITLE = {{4th Open Science Meeting of the Global Land Programme}}, ADDRESS = {Berne, Switzerland}, YEAR = {2019}, MONTH = Apr, HAL_ID = {halshs-02191100}, HAL_VERSION = {v1}, } .
Evaluation of dimensional reduction methods on urban vegetation classification performance using hyperspectral data @inproceedings{brabant:halshs-02191363, TITLE = {{Evaluation of dimensional reduction methods on urban vegetation classification performance using hyperspectral data}}, AUTHOR = {Brabant, C. and Alvarez-Vanhard, Emilien and Morin, Gwena{\"e}l and Nguyen, Thanh Ngoc and Laribi, Achour and Houet, Thomas}, URL = {https://halshs.archives-ouvertes.fr/halshs-02191363}, BOOKTITLE = {{IGARSS 2018}}, ADDRESS = {Valencia, Spain}, YEAR = {2018}, MONTH = Jul, PDF = {https://halshs.archives-ouvertes.fr/halshs-02191363/file/Article_Brabant%26al_HYEP.pdf}, HAL_ID = {halshs-02191363}, HAL_VERSION = {v1}, } .