Danfeng Hong

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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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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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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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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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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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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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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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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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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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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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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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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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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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