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Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction

Sep 21, 2020
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu

* IEEE Transactions on Cybernetics, 2020 

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PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field

Sep 13, 2020
Haixia Bi, Jing Yao, Zhiqiang Wei, Danfeng Hong, Jocelyn Chanussot


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More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

Aug 12, 2020
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang

* IEEE Transactions on Geoscience and Remote Sensing, 2020 

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Graph Convolutional Networks for Hyperspectral Image Classification

Aug 06, 2020
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot

* IEEE Transactions on Geoscience and Remote Sensing, 2020 

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Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution

Jul 28, 2020
Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot

* IEEE Transactions on Geoscience and Remote Sensing,2020 

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Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning

Jul 28, 2020
Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot

* IEEE Transactions on Geoscience and Remote Sensing, 2020 

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Spatial-Spectral Manifold Embedding of Hyperspectral Data

Jul 17, 2020
Danfeng Hong, Jing Yao, Xin Wu, Jocelyn Chanussot, Xiao Xiang Zhu


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Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Jul 15, 2020
Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu


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X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data

Jul 11, 2020
Danfeng Hong, Naoto Yokoya, Gui-Song Xia, Jocelyn Chanussot, Xiao Xiang Zhu

* ISPRS Journal of Photogrammetry and Remote Sensing,2020,167:12-23 

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Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks

May 29, 2020
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot


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Graph-based fusion for change detection in multi-spectral images

Apr 02, 2020
David Alejandro Jimenez Sierra, Hernán Darío Benítez Restrepo, Hernán Darío Vargas Cardonay, Jocelyn Chanussot

* Four pages conference paper, four figures 

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Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep

Mar 06, 2020
Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson


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Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

Dec 18, 2019
Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu

* IEEE Transactions on Geoscience and Remote Sensing, 2020 

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Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data

Dec 18, 2019
Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu

* IEEE Geoscience and Remote Sensing Letters, 2019 

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Online Structured Sparsity-based Moving Object Detection from Satellite Videos

Dec 10, 2019
Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot


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An Introduction to Deep Morphological Networks

Jun 04, 2019
Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, William Robson Schwartz, Jefersson A. dos Santos


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Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

May 27, 2019
Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang


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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

Jan 31, 2019
Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao


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Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification

Jan 09, 2019
Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiao Xiang Zhu


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CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

Dec 30, 2018
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu


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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

Oct 29, 2018
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu


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Dynamic Multi-Scale Segmentation of Remote Sensing Images based on Convolutional Networks

Jun 24, 2018
Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot, William Robson Schwartz, Jefersson A. dos Santos

* Paper submitted to the Transactions on Geoscience & Remote Sensing 

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Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation

Dec 27, 2017
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao

* Submitted for Journal (Version 2) 

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A Framework for Fast Image Deconvolution with Incomplete Observations

Aug 30, 2016
Miguel Simões, Luis B. Almeida, José Bioucas-Dias, Jocelyn Chanussot

* IEEE Trans. Image Process., to be published. 15 pages, 11 figures. MATLAB code available at https://github.com/alfaiate/DeconvolutionIncompleteObs 

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Dynamical spectral unmixing of multitemporal hyperspectral images

Oct 14, 2015
Simon Henrot, Jocelyn Chanussot, Christian Jutten

* 13 pages, 10 figures 

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Hyperspectral pansharpening: a review

Apr 17, 2015
Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel A. Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya


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