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Refinado por: Base de dados/Biblioteca: EZB Electronic Journals Library remover assunto: Technology remover Remote Sensing remover
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1
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]

MDPI AG

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2
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]

MDPI AG

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3
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]

MDPI AG

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4
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), , Vol.8 (6), p.501 [Periódico revisado por pares]

MDPI AG

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5
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]

MDPI AG

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6
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]

MDPI AG

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7
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]

MDPI AG

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8
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
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3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images

Ji, Shunping ; Zhang, Chi ; Xu, Anjian ; Shi, Yun ; Duan, Yulin

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.75 [Periódico revisado por pares]

MDPI AG

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9
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
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A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Chen, Hao ; Shi, Zhenwei

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1662 [Periódico revisado por pares]

Basel: MDPI AG

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10
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
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Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

Chang, Zhilu ; Du, Zhen ; Zhang, Fan ; Huang, Faming ; Chen, Jiawu ; Li, Wenbin ; Guo, Zizheng

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.502 [Periódico revisado por pares]

MDPI AG

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