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1
Precision Agriculture Techniques and Practices: From Considerations to Applications
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Precision Agriculture Techniques and Practices: From Considerations to Applications

Sensors (Basel, Switzerland), 2019-09, Vol.19 (17), p.3796 [Peer Reviewed Journal]

2019 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 (http://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. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19173796 ;PMID: 31480709

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2
A Review of Wetland Remote Sensing
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A Review of Wetland Remote Sensing

Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.777 [Peer Reviewed Journal]

2017. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17040777 ;PMID: 28379174

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3
A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm
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A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm

Sensors (Basel, Switzerland), 2017-06, Vol.17 (7), p.1474 [Peer Reviewed Journal]

2017. 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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17071474 ;PMID: 28640181

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4
Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD
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Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD

Sensors (Basel, Switzerland), 2020-08, Vol.20 (17), p.4938 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20174938 ;PMID: 32878345

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5
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture
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UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture

Sensors (Basel, Switzerland), 2020-04, Vol.20 (9), p.2530 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20092530 ;PMID: 32365636

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6
Ship Classification in High-Resolution SAR Images Using Deep Learning of Small Datasets
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Ship Classification in High-Resolution SAR Images Using Deep Learning of Small Datasets

Sensors (Basel, Switzerland), 2018-09, Vol.18 (9), p.2929 [Peer Reviewed Journal]

2018. This work is licensed under http://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. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18092929 ;PMID: 30177668

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7
An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN
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An Efficient Building Extraction Method from High Spatial Resolution Remote Sensing Images Based on Improved Mask R-CNN

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1465 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20051465 ;PMID: 32155935

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8
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors
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Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors

Sensors (Basel, Switzerland), 2021-01, Vol.21 (1), p.280 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21010280 ;PMID: 33406613

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9
Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data
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Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data

Sensors (Basel, Switzerland), 2019-02, Vol.19 (3), p.743 [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. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19030743 ;PMID: 30759841

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10
Super-Resolution for "Jilin-1" Satellite Video Imagery via a Convolutional Network
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Super-Resolution for "Jilin-1" Satellite Video Imagery via a Convolutional Network

Sensors (Basel, Switzerland), 2018-04, Vol.18 (4), p.1194 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18041194 ;PMID: 29652838

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11
Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
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Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network

Sensors (Basel, Switzerland), 2018-03, Vol.18 (3), p.789 [Peer Reviewed Journal]

Copyright MDPI AG 2018 ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18030789 ;PMID: 29509666

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12
R-YOLO: A YOLO-Based Method for Arbitrary-Oriented Target Detection in High-Resolution Remote Sensing Images
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R-YOLO: A YOLO-Based Method for Arbitrary-Oriented Target Detection in High-Resolution Remote Sensing Images

Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5716 [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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22155716 ;PMID: 35957272

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13
Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images
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Article
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Robust Data Association Using Fusion of Data-Driven and Engineered Features for Real-Time Pedestrian Tracking in Thermal Images

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.8005 [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. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21238005 ;PMID: 34884016

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14
AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network
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AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network

Sensors (Basel, Switzerland), 2022-04, Vol.22 (8), p.2932 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22082932 ;PMID: 35458917

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15
Development of Broadband High-Frequency Piezoelectric Micromachined Ultrasonic Transducer Array
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Development of Broadband High-Frequency Piezoelectric Micromachined Ultrasonic Transducer Array

Sensors (Basel, Switzerland), 2021-03, Vol.21 (5), p.1823 [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. ;Attribution ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21051823 ;PMID: 33807831

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16
Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging
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Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging

Sensors (Basel, Switzerland), 2020-08, Vol.20 (17), p.4915 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20174915 ;PMID: 32878075

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17
Multi-Scale Feature Integrated Attention-Based Rotation Network for Object Detection in VHR Aerial Images
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Multi-Scale Feature Integrated Attention-Based Rotation Network for Object Detection in VHR Aerial Images

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1686 [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. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20061686 ;PMID: 32197365

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18
A Homogeneous Breast Phantom Measurement System with an Improved Modified Microwave Imaging Antenna Sensor
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A Homogeneous Breast Phantom Measurement System with an Improved Modified Microwave Imaging Antenna Sensor

Sensors (Basel, Switzerland), 2018-09, Vol.18 (9), p.2962 [Peer Reviewed Journal]

2018. This work is licensed under http://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. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18092962 ;PMID: 30189684

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19
Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery
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Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery

Sensors (Basel, Switzerland), 2017-12, Vol.17 (12), p.2852 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s17122852 ;PMID: 29292742

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20
A Novel Approach for Mapping Wheat Areas Using High Resolution Sentinel-2 Images
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A Novel Approach for Mapping Wheat Areas Using High Resolution Sentinel-2 Images

Sensors (Basel, Switzerland), 2018-06, Vol.18 (7), p.2089-23 [Peer Reviewed Journal]

2018. 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. ;Distributed under a Creative Commons Attribution 4.0 International License ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18072089 ;PMID: 29966267

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