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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 [Revista revisada 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 [Revista revisada por pares]

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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 [Revista revisada por pares]

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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), 2016-06, Vol.8 (6), p.501 [Revista revisada por pares]

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5
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 [Revista revisada por pares]

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6
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 [Revista revisada por pares]

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7
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 [Revista revisada por pares]

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8
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 [Revista revisada por pares]

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9
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 [Revista revisada por pares]

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10
Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models
Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models
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Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models

Cao, Jingjing ; Leng, Wanchun ; Liu, Kai ; Liu, Lin ; He, Zhi ; Zhu, Yuanhui

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.89 [Revista revisada por pares]

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