Jocelyn Chanussot

Jocelyn Chanussot is a Professor of signal and image processing at the Grenoble Institute of Technology in Grenoble, France. Chanussot was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to data fusion and image processing for remote sensing. Since January 2011, he serves as Editor-in-Chief of the ''IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing'' and is a former member of the Institut Universitaire de France. Provided by Wikipedia
Showing 1 - 20 results of 46 for search 'Jocelyn Chanussot', query time: 0.08s Refine Results
  1. 1
    Spectral transformation based on nonlinear principal component analysis for dimensionality reduction of hyperspectral images

    Spectral transformation based on nonlinear principal component analysis for dimensionality reduction of hyperspectral images by Giorgio Licciardi, Jocelyn Chanussot

    Published 2018-01-01
    Get full text
    Article
  2. 2
    Automatic 3D Multiple Building Change Detection Model Based on Encoder–Decoder Network Using Highly Unbalanced Remote Sensing Datasets

    Automatic 3D Multiple Building Change Detection Model Based on Encoder–Decoder Network Using Highly Unbalanced Remote Sensing Datasets by Masoomeh Gomroki, Mahdi Hasanlou, Jocelyn Chanussot

    Published 2023-01-01
    Get full text
    Article
  3. 3
    Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis

    Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis by Janine Florath, Jocelyn Chanussot, Sina Keller

    Published 2024-03-01
    Get full text
    Article
  4. 4
    Démélange robuste d'images hyperspectrales en interprétant les pôles de mélange comme des données directionnelles

    Démélange robuste d'images hyperspectrales en interprétant les pôles de mélange comme des données directionnelles by Lucas Drumetz, Jocelyn Chanussot, Akira Iwasaki

    Published 2018-09-01
    Get full text
    Article
  5. 5
    Toward Super-Resolution Image Construction Based on Joint Tensor Decomposition

    Toward Super-Resolution Image Construction Based on Joint Tensor Decomposition by Xiaoxu Ren, Liangfu Lu, Jocelyn Chanussot

    Published 2020-08-01
    Get full text
    Article
  6. 6
    Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas

    Utilizing Volunteered Geographic Information for Real-Time Analysis of Fire Hazards: Investigating the Potential of Twitter Data in Assessing the Impacted Areas by Janine Florath, Jocelyn Chanussot, Sina Keller

    Published 2023-12-01
    Get full text
    Article
  7. 7
    Non-Linear Spectral Unmixing for the Estimation of the Distribution of Graphene Oxide Deposition on 3D Printed Composites

    Non-Linear Spectral Unmixing for the Estimation of the Distribution of Graphene Oxide Deposition on 3D Printed Composites by Giorgio Licciardi, Costantino Del Gaudio, Jocelyn Chanussot

    Published 2020-11-01
    Get full text
    Article
  8. 8
    DSMNN-Net: A Deep Siamese Morphological Neural Network Model for Burned Area Mapping Using Multispectral Sentinel-2 and Hyperspectral PRISMA Images

    DSMNN-Net: A Deep Siamese Morphological Neural Network Model for Burned Area Mapping Using Multispectral Sentinel-2 and Hyperspectral PRISMA Images by Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot

    Published 2021-12-01
    Get full text
    Article
  9. 9
    Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network

    Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network by Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot

    Published 2022-07-01
    Get full text
    Article
  10. 10
    A Quadratic Morphological Deep Neural Network Fusing Radar and Optical Data for the Mapping of Burned Areas

    A Quadratic Morphological Deep Neural Network Fusing Radar and Optical Data for the Mapping of Burned Areas by Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot

    Published 2022-01-01
    Get full text
    Article
  11. 11
    EMYNet-BDD: EfficientViTB Meets Yolov8 in the Encoder–Decoder Architecture for Building Damage Detection Using Postevent Remote Sensing Images

    EMYNet-BDD: EfficientViTB Meets Yolov8 in the Encoder–Decoder Architecture for Building Damage Detection Using Postevent Remote Sensing Images by Masoomeh Gomroki, Mahdi Hasanlou, Jocelyn Chanussot, Danfeng Hong

    Published 2024-01-01
    Get full text
    Article
  12. 12
    Information extraction from remote sensing imagery

    Information extraction from remote sensing imagery by Xin Huang, Jiayi Li, Wenzhi Liao, Jocelyn Chanussot

    Published 2017-10-01
    Get full text
    Article
  13. 13
    BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net

    BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net by Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot, Pedram Ghamisi

    Published 2023-01-01
    Get full text
    Article
  14. 14
    Leveraging involution and convolution in an explainable building damage detection framework

    Leveraging involution and convolution in an explainable building damage detection framework by Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot, Pedram Ghamisi

    Published 2023-09-01
    Get full text
    Article
  15. 15
    Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective

    Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective by Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot

    Published 2024-01-01
    Get full text
    Article
  16. 16
    Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge

    Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge by Gemine Vivone, Andrea Garzelli, Yang Xu, Wenzhi Liao, Jocelyn Chanussot

    Published 2023-01-01
    Get full text
    Article
  17. 17
    Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers

    Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers by Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot

    Published 2020-04-01
    Get full text
    Article
  18. 18
    Noise Reduction in Hyperspectral Imagery: Overview and Application

    Noise Reduction in Hyperspectral Imagery: Overview and Application by Behnood Rasti, Paul Scheunders, Pedram Ghamisi, Giorgio Licciardi, Jocelyn Chanussot

    Published 2018-03-01
    Get full text
    Article
  19. 19
    Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China

    Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China by Xuemei Zhao, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot

    Published 2021-10-01
    Get full text
    Article
  20. 20
    Hyperspectral Imagery Classification via Random Multigraphs Ensemble Learning

    Hyperspectral Imagery Classification via Random Multigraphs Ensemble Learning by Yanling Miao, Mulin Chen, Yuan Yuan, Jocelyn Chanussot, Qi Wang

    Published 2022-01-01
    Get full text
    Article

Search Tools: