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1
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
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Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2015-11, Vol.7 (11), p.14680-14707 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs71114680

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2
Deep learning‐based methods for individual recognition in small birds
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Deep learning‐based methods for individual recognition in small birds

Methods in ecology and evolution, 2020-09, Vol.11, p.1072-1085 [Peer Reviewed Journal]

Attribution ;ISSN: 2041-210X ;EISSN: 2041-210X ;DOI: 10.1111/2041-210x.13436

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3
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5
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A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (9), p.1619 [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/rs13091619

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4
Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification
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Deep Autoregressive Neural Networks for High‐Dimensional Inverse Problems in Groundwater Contaminant Source Identification

Water resources research, 2019-05, Vol.55 (5), p.3856-3881 [Peer Reviewed Journal]

2019. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2018WR024638

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5
Being 'Green and Competitive': The Impact of Environmental Actions and Collaborations on Firm Performance
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Being 'Green and Competitive': The Impact of Environmental Actions and Collaborations on Firm Performance

Business strategy and the environment, 2015-09, Vol.24 (6), p.413-430 [Peer Reviewed Journal]

Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment ;Copyright Wiley Periodicals Inc. Sep 2015 ;ISSN: 0964-4733 ;EISSN: 1099-0836 ;DOI: 10.1002/bse.1828

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6
Detecting Ecological Changes with a Remote Sensing Based Ecological Index (RSEI) Produced Time Series and Change Vector Analysis
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Detecting Ecological Changes with a Remote Sensing Based Ecological Index (RSEI) Produced Time Series and Change Vector Analysis

Remote sensing (Basel, Switzerland), 2019-10, Vol.11 (20), p.2345 [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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11202345

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7
Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network
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Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network

Water resources research, 2018-01, Vol.54 (1), p.381-406 [Peer Reviewed Journal]

2018. American Geophysical Union. All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1002/2017WR022148

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8
Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
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Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images

Remote sensing (Basel, Switzerland), 2015-04, Vol.7 (4), p.4026-4047 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs70404026

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9
Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure
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Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure

Remote sensing (Basel, Switzerland), 2015-10, Vol.7 (10), p.13895-13920 [Peer Reviewed Journal]

Copyright MDPI AG 2015 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs71013895

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10
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), , 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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11
More than meets the eye: a longitudinal analysis of climate change imagery in the print media
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More than meets the eye: a longitudinal analysis of climate change imagery in the print media

Climatic change, 2020-11, Vol.163 (1), p.9-26 [Peer Reviewed Journal]

The Author(s) 2019 ;Climatic Change is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published 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. ;The Author(s) 2019. This work is published 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. ;ISSN: 0165-0009 ;EISSN: 1573-1480 ;DOI: 10.1007/s10584-019-02504-8

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12
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5
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Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3555 [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/rs13183555

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13
Soil moisture retrieval over irrigated grassland using X-band SAR data
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Soil moisture retrieval over irrigated grassland using X-band SAR data

Remote sensing of environment, 2016-04, Vol.176, p.202-218 [Peer Reviewed Journal]

Attribution - NonCommercial - NoDerivatives ;ISSN: 0034-4257 ;EISSN: 1879-0704 ;DOI: 10.1016/j.rse.2016.01.027 ;PMID: 352576

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14
Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images
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Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3776 [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/rs13183776

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15
Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’ Imagery on Glaciers
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Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’ Imagery on Glaciers

Remote sensing (Basel, Switzerland), 2017-02, Vol.9 (2), p.186-186 [Peer Reviewed Journal]

Copyright MDPI AG 2017 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs9020186

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16
Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models
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Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models

Environment international, 2023-08, Vol.178, p.108106-108106, Article 108106 [Peer Reviewed Journal]

2023 The Author(s) ;Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved. ;ISSN: 0160-4120 ;EISSN: 1873-6750 ;DOI: 10.1016/j.envint.2023.108106 ;PMID: 37544265

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17
A scoping review into the impact of animal imagery on pro-environmental outcomes
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A scoping review into the impact of animal imagery on pro-environmental outcomes

Ambio, 2020-06, Vol.49 (6), p.1135-1145 [Peer Reviewed Journal]

The Author(s) 2019 ;The Author(s) 2019. This work is published 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. ;ISSN: 0044-7447 ;EISSN: 1654-7209 ;DOI: 10.1007/s13280-019-01271-1 ;PMID: 31654239

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18
Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series
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Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

Remote sensing (Basel, Switzerland), 2016, Vol.8 (5), p.362-362 [Peer Reviewed Journal]

Copyright MDPI AG 2016 ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs8050362

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19
Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion
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Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.143 [Peer Reviewed Journal]

2020 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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12010143

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20
Evaluating street view exposure measures of visible green space for health research
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Evaluating street view exposure measures of visible green space for health research

Journal of exposure science & environmental epidemiology, 2019-06, Vol.29 (4), p.447-456 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Jul 2019 ;ISSN: 1559-0631 ;EISSN: 1559-064X ;DOI: 10.1038/s41370-018-0017-1 ;PMID: 29352209

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