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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

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (14), p.2291 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12142291

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2
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

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.132 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10010132

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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

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.498 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030498

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4
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

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.582 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12030582

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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

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1729 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111729

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6
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

Remote sensing (Basel, Switzerland), 2016-06, Vol.8 (6), p.501 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8060501

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7
Pansharpening by Convolutional Neural Networks
Pansharpening by Convolutional Neural Networks
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Pansharpening by Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.594 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8070594

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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

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1509 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10101509

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9
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

Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1135 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071135

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10
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

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1662 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12101662

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11
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

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (2), p.75 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10010075

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12
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses
The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses
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The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (4), p.720 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12040720

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13
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

Remote sensing (Basel, Switzerland), 2018-01, Vol.10 (1), p.144 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs10010144

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14
Review of Image Classification Algorithms Based on Convolutional Neural Networks
Review of Image Classification Algorithms Based on Convolutional Neural Networks
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Review of Image Classification Algorithms Based on Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4712 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;E class="EXLSummartions of thQuest+Central&fctV=Remote+Sensing&rfnGrp=2&rfnGrp=1&tab=default_tab&vl(119760700UI1)=all_items&fctN=facet_domain&fctN=facet_jtitle&vl(freeText0)=Environmental%20Sciences%20%26%20Ecology&dstmp=1726733524747" onclick="reportdcope%3witzerland), 2021-11, Vol.13 (22), p.4712 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creatw6article_d6e42026eaa94282b4031eb188df3fb5');">Review of Image Classification Algorithms Based on Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4712 [Peer0DroQuetzerlandDorV"/> Review of Image Classification Algorithms Based on Convolutional Neural Networks Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4712 [Peer Reviewed Journal]

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