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1
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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2
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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3
Vision Transformers for Remote Sensing Image Classification
Vision Transformers for Remote Sensing Image Classification
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Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. 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/rs13030516

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4
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series
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Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1471 [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/rs12091471

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5
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
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A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.765 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11070765

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6
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
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SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3690 [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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13183690

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7
Copernicus Global Land Cover Layers—Collection 2
Copernicus Global Land Cover Layers—Collection 2
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Copernicus Global Land Cover Layers—Collection 2

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.1044 [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/rs12061044

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8
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
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Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1667 [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/rs12101667

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9
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover
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Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and Esri Land Cover

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.4101 [Peer Reviewed Journal]

2022 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. ;info:eu-repo/semantics/openAccess ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14164101

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10
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images
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A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1552 [Peer Reviewed Journal]

2022 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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14071552

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11
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
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A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (12), p.2835 [Peer Reviewed Journal]

2022 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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14122835

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12
Remote Sensing Image Scene Classification Using CNN-CapsNet
Remote Sensing Image Scene Classification Using CNN-CapsNet
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Remote Sensing Image Scene Classification Using CNN-CapsNet

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.494 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11050494

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13
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images
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Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3065 [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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13163065

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14
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
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Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.871 [Peer Reviewed Journal]

2022 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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14040871

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15
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
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On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.89 [Peer Reviewed Journal]

2021. 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/rs13010089

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16
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5
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A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3095 [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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13163095

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17
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images
BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images
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BiFA-YOLO: A Novel YOLO-Based Method for Arbitrary-Oriented Ship Detection in High-Resolution SAR Images

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (21), p.4209 [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 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13214209

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18
Random Forest Spatial Interpolation
Random Forest Spatial Interpolation
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Random Forest Spatial Interpolation

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1687 [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/rs12101687

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19
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
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Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1444 [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/rs12091444

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20
Google Earth Engine Applications
Google Earth Engine Applications
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Google Earth Engine Applications

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.591 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (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/rs11050591

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