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Sentinel-2 Data for Land Cover/Use Mapping: A Review
Sentinel-2 Data for Land Cover/Use Mapping: A Review
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Sentinel-2 Data for Land Cover/Use Mapping: A Review

Phiri, Darius ; Simwanda, Matamyo ; Salekin, Serajis ; Nyirenda, Vincent ; Murayama, Yuji ; Ranagalage, Manjula

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2291 [Periódico revisado por pares]

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Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks
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Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

Yang, Xue ; Sun, Hao ; Fu, Kun ; Yang, Jirui ; Sun, Xian ; Yan, Menglong ; Guo, Zhi

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.132 [Periódico revisado por pares]

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Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
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Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

Li, Rui ; Zheng, Shunyi ; Duan, Chenxi ; Yang, Yang ; Wang, Xiqi

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.582 [Periódico revisado por pares]

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4
Spatial-Spectral Transformer for Hyperspectral Image Classification
Spatial-Spectral Transformer for Hyperspectral Image Classification
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Spatial-Spectral Transformer for Hyperspectral Image Classification

He, Xin ; Chen, Yushi ; Lin, Zhouhan

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.498 [Periódico revisado por pares]

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An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
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An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

Zhang, Wuming ; Qi, Jianbo ; Wan, Peng ; Wang, Hongtao ; Xie, Donghui ; Wang, Xiaoyan ; Yan, Guangjian

Remote sensing (Basel, Switzerland), 2016-06, Vol.8 (6), p.501 [Periódico revisado por pares]

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Pansharpening by Convolutional Neural Networks
Pansharpening by Convolutional Neural Networks
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Pansharpening by Convolutional Neural Networks

Masi, Giuseppe ; Cozzolino, Davide ; Verdoliva, Luisa ; Scarpa, Giuseppe

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.594 [Periódico revisado por pares]

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7
Review: Deep Learning on 3D Point Clouds
Review: Deep Learning on 3D Point Clouds
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Review: Deep Learning on 3D Point Clouds

Bello, Saifullahi Aminu ; Yu, Shangshu ; Wang, Cheng ; Adam, Jibril Muhmmad ; Li, Jonathan

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1729 [Periódico revisado por pares]

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8
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
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Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

Talukdar, Swapan ; Singha, Pankaj ; Mahato, Susanta ; Shahfahad ; Pal, Swades ; Liou, Yuei-An ; Rahman, Atiqur

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1135 [Periódico revisado por pares]

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Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
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Google Earth Engine Applications Since Inception: Usage, Trends, and Potential

Kumar, Lalit ; Mutanga, Onisimo

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1509 [Periódico revisado por pares]

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Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
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Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters

Xu, Yongyang ; Wu, Liang ; Xie, Zhong ; Chen, Zhanlong

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.144 [Periódico revisado por pares]

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