Danfeng Hong

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Graph Convolutional Networks for Hyperspectral Image Classification

Convolutional neural networks (CNNs) have been attracting increasing att...
08/06/2020 ∙ by Danfeng Hong, et al. ∙ 14 ∙ share

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

Due to the limitations of hyperspectral imaging systems, hyperspectral i...
07/28/2020 ∙ by Ke Zheng, et al. ∙ 0 ∙ share

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

Extensive attention has been widely paid to enhance the spatial resoluti...
07/28/2020 ∙ by Lianru Gao, et al. ∙ 0 ∙ share

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Guided Deep Decoder: Unsupervised Image Pair Fusion

The fusion of input and guidance images that have a tradeoff in their in...
07/23/2020 ∙ by Tatsumi Uezato, et al. ∙ 0 ∙ share

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Spatial-Spectral Manifold Embedding of Hyperspectral Data

In recent years, hyperspectral imaging, also known as imaging spectrosco...
07/17/2020 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network

Vehicle detection in remote sensing images has attracted increasing inte...
07/16/2020 ∙ by Xin Wu, et al. ∙ 13 ∙ share

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

The recent advancement of deep learning techniques has made great progre...
07/10/2020 ∙ by Jing Yao, et al. ∙ 0 ∙ share

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

This paper addresses the problem of semi-supervised transfer learning wi...
06/24/2020 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Interferometric phase restoration has been investigated for decades and ...
03/06/2020 ∙ by Jian Kang, et al. ∙ 0 ∙ share

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

Hyperspectral images provide detailed spectral information through hundr...
03/05/2020 ∙ by Behnood Rasti, et al. ∙ 7 ∙ share

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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

In this paper, we propose an efficient and effective framework to fuse h...
02/04/2020 ∙ by Renlong Hang, et al. ∙ 15 ∙ share

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

Up to the present, an enormous number of advanced techniques have been d...
12/18/2019 ∙ by Danfeng Hong, et al. ∙ 22 ∙ share

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

Due to the ever-growing diversity of the data source, multi-modality fea...
12/18/2019 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data

Multi-modal data fusion has recently been shown promise in classificatio...
06/13/2019 ∙ by Jingliang Hu, et al. ∙ 5 ∙ share

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

Geospatial object detection of remote sensing imagery has been attractin...
05/27/2019 ∙ by Xin Wu, et al. ∙ 0 ∙ share

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Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

By considering the spectral signature as a sequence, recurrent neural ne...
02/28/2019 ∙ by Renlong Hang, et al. ∙ 10 ∙ share

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

With the rapid development of spaceborne imaging techniques, object dete...
01/23/2019 ∙ by Xin Wu, et al. ∙ 24 ∙ share

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

In this paper, we aim at tackling a general but interesting cross-modali...
01/09/2019 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

With a large amount of open satellite multispectral imagery (e.g., Senti...
12/30/2018 ∙ by Danfeng Hong, et al. ∙ 16 ∙ share

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

Hyperspectral imagery collected from airborne or satellite sources inevi...
10/29/2018 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification

Despite the fact that nonlinear subspace learning techniques (e.g. manif...
08/15/2018 ∙ by Danfeng Hong, et al. ∙ 0 ∙ share

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Danfeng Hong

Featured Co-authors

Wei Li

Yue Wang

Deyu Meng

Xiao Xiang Zhu

Gui-Song Xia

Jialin Liu

Yang Xu

Zongben Xu

Jian Xu

Jocelyn Chanussot

Wei He

Graph Convolutional Networks for Hyperspectral Image Classification

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

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

Guided Deep Decoder: Unsupervised Image Pair Fusion

Spatial-Spectral Manifold Embedding of Hyperspectral Data

Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network

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

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

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

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

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

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

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

MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data

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

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

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

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

CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences

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

Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification