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Refinado por: Base de dados/Biblioteca: Aerospace Database remover Nome da Publicação: Ieee Transactions On Geoscience And Remote Sensing remover
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1
Graph Convolutional Networks for Hyperspectral Image Classification
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Graph Convolutional Networks for Hyperspectral Image Classification

Hong, Danfeng ; Gao, Lianru ; Yao, Jing ; Zhang, Bing ; Plaza, Antonio ; Chanussot, Jocelyn

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.5966-5978 [Periódico revisado por pares]

New York: IEEE

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A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization
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A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization

Simoes, Miguel ; Bioucas-Dias, Jose ; Almeida, Luis B. ; Chanussot, Jocelyn

IEEE transactions on geoscience and remote sensing, 2015-06, Vol.53 (6), p.3373-3388 [Periódico revisado por pares]

New York: IEEE

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Wideband Sparse Reconstruction for Scanning Radar
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Wideband Sparse Reconstruction for Scanning Radar

Zhang, Yongchao ; Jakobsson, Andreas ; Zhang, Yin ; Huang, Yulin ; Yang, Jianyu

IEEE transactions on geoscience and remote sensing, 2018-10, Vol.56 (10), p.6055-6068 [Periódico revisado por pares]

New York: IEEE

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A Critical Comparison Among Pansharpening Algorithms
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A Critical Comparison Among Pansharpening Algorithms

Vivone, Gemine ; Alparone, Luciano ; Chanussot, Jocelyn ; Dalla Mura, Mauro ; Garzelli, Andrea ; Licciardi, Giorgio A. ; Restaino, Rocco ; Wald, Lucien

IEEE transactions on geoscience and remote sensing, 2015-05, Vol.53 (5), p.2565-2586 [Periódico revisado por pares]

New York: IEEE

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5
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
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ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

Wu, Xin ; Hong, Danfeng ; Tian, Jiaojiao ; Chanussot, Jocelyn ; Li, Wei ; Tao, Ran

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.5146-5158 [Periódico revisado por pares]

New York: IEEE

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6
CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences
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CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

Hong, Danfeng ; Yokoya, Naoto ; Chanussot, Jocelyn ; Zhu, Xiao Xiang

IEEE transactions on geoscience and remote sensing, 2019-07, Vol.57 (7), p.4349-4359 [Periódico revisado por pares]

New York: IEEE

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7
StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion
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StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion

Liu, Xun ; Deng, Chenwei ; Chanussot, Jocelyn ; Hong, Danfeng ; Zhao, Baojun

IEEE transactions on geoscience and remote sensing, 2019-09, Vol.57 (9), p.6552-6564 [Periódico revisado por pares]

New York: IEEE

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8
A Novel MIMO-SAR Echo Separation Solution for Reducing the System Complexity: Spectrum Preprocessing and Segment Synthesis
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A Novel MIMO-SAR Echo Separation Solution for Reducing the System Complexity: Spectrum Preprocessing and Segment Synthesis

Wang, Yu ; Jin, Guodong ; Shi, Tianyue ; Yan, He ; Jakobsson, Andreas ; Wang, Xudong ; Niu, Shilin ; Zhang, Hanqing ; Zhang, Xifeng ; Wu, Di ; Zhu, Daiyin

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-17 [Periódico revisado por pares]

New York: IEEE

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9
High-Throughput Hyperparameter-Free Sparse Source Location for Massive TDM-MIMO Radar: Algorithm and FPGA Implementation
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High-Throughput Hyperparameter-Free Sparse Source Location for Massive TDM-MIMO Radar: Algorithm and FPGA Implementation

Zhang, Yongchao ; Huang, Yulin ; Zhang, Yongwei ; Liu, Shuaidi ; Luo, Jiawei ; Zhou, Xiaokun ; Yang, Jianyu ; Jakobsson, Andreas

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-14 [Periódico revisado por pares]

New York: IEEE

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Parametric Model-Based 2-D Autofocus Approach for General BiSAR Filtered Backprojection Imagery
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Parametric Model-Based 2-D Autofocus Approach for General BiSAR Filtered Backprojection Imagery

Shi, Tianyue ; Mao, Xinhua ; Jakobsson, Andreas ; Liu, Yanqi

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-14 [Periódico revisado por pares]

New York: IEEE

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