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Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation
Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation
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Deep Learning Prior Model for Unsupervised Seismic Data Random Noise Attenuation

Qiu, Chenyu ; Wu, Bangyu ; Liu, Naihao ; Zhu, Xu ; Ren, Haoran

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5 [Periódico revisado por pares]

Piscataway: IEEE

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Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search
Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search
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Optimizing Seismic Facies Classification Through Differentiable Network Architecture Search

Gao, Zhaoqi ; Wang, Kezheng ; Wang, Zhiguo ; Gao, Jinghuai

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-12 [Periódico revisado por pares]

New York: IEEE

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3
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
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More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

Hong, Danfeng ; Gao, Lianru ; Yokoya, Naoto ; Yao, Jing ; Chanussot, Jocelyn ; Du, Qian ; Zhang, Bing

IEEE transactions on geoscience and remote sensing, 2021-05, Vol.59 (5), p.4340-4354 [Periódico revisado por pares]

New York: IEEE

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4
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework
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Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework

Zhong, Zilong ; Li, Ying ; Ma, Lingfei ; Li, Jonathan ; Zheng, Wei-Shi

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-15 [Periódico revisado por pares]

New York: IEEE

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5
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing
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Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing

Han, Zhu ; Hong, Danfeng ; Gao, Lianru ; Roy, Swalpa Kumar ; Zhang, Bing ; Chanussot, Jocelyn

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5 [Periódico revisado por pares]

Piscataway: IEEE

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6
Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
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Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification

Chen, Yushi ; Zhu, Kaiqiang ; Zhu, Lin ; He, Xin ; Ghamisi, Pedram ; Benediktsson, Jon Atli

IEEE transactions on geoscience and remote sensing, 2019-09, Vol.57 (9), p.7048-7066 [Periódico revisado por pares]

New York: IEEE

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7
Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification
Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification
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Contextual Information-Preserved Architecture Learning for Remote-Sensing Scene Classification

Chen, Jie ; Huang, Haozhe ; Peng, Jian ; Zhu, Jiawei ; Chen, Li ; Tao, Chao ; Li, Haifeng

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

New York: IEEE

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8
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
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Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification

Dong, Hongwei ; Zou, Bin ; Zhang, Lamei ; Zhang, Siyu

IEEE transactions on geoscience and remote sensing, 2020-09, Vol.58 (9), p.6362-6375 [Periódico revisado por pares]

New York: IEEE

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9
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
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AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing

Han, Zhu ; Hong, Danfeng ; Gao, Lianru ; Zhang, Bing ; Huang, Min ; Chanussot, Jocelyn

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-1 [Periódico revisado por pares]

New York: IEEE

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10
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture
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Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture

Ding, Lei ; Zhang, Jing ; Bruzzone, Lorenzo

IEEE transactions on geoscience and remote sensing, 2020-08, Vol.58 (8), p.5367-5376 [Periódico revisado por pares]

New York: IEEE

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