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Refinado por: assunto: Technology remover Nome da Publicação: Photogrammetric Engineering And Remote Sensing remover
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Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
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Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)

Pajares, Gonzalo

Photogrammetric engineering and remote sensing, 2015-04, Vol.81 (4), p.281-329 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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2
Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry
Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry
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Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry

Abdel-Aziz, Y.I ; Karara, H.M. ; Hauck, Michael

Photogrammetric engineering and remote sensing, 2015-02, Vol.81 (2), p.103-107 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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3
Automated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands
Automated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands
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Automated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands

Peters, Ravi ; Dukai, Balázs ; Vitalis, Stelios ; van Liempt, Jordi ; Stoter, Jantien

Photogrammetric engineering and remote sensing, 2022-03, Vol.88 (3), p.165-170 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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4
Machine Learning-Based Ensemble Prediction of Water-quality Variables Using Feature-level and Decision-level Fusion with Proximal Remote Sensing
Machine Learning-Based Ensemble Prediction of Water-quality Variables Using Feature-level and Decision-level Fusion with Proximal Remote Sensing
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Machine Learning-Based Ensemble Prediction of Water-quality Variables Using Feature-level and Decision-level Fusion with Proximal Remote Sensing

Peterson, Kyle T. ; Sagan, Vasit ; Sidike, Paheding ; Hasenmueller, Elizabeth A. ; Sloan, John J. ; Knouft, Jason H.

Photogrammetric engineering and remote sensing, 2019-04, Vol.85 (4), p.269-280 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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5
Approximating Prediction Uncertainty for Random Forest Regression Models
Approximating Prediction Uncertainty for Random Forest Regression Models
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Approximating Prediction Uncertainty for Random Forest Regression Models

Coulston, John W. ; Blinn, Christine E. ; Thomas, Valerie A. ; Wynne, Randolph H.

Photogrammetric engineering and remote sensing, 2016-03, Vol.82 (3), p.189-197 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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6
Multispectral and Panchromatic Data Fusion Assessment Without Reference
Multispectral and Panchromatic Data Fusion Assessment Without Reference
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Multispectral and Panchromatic Data Fusion Assessment Without Reference

Alparone, Luciano ; Aiazzi, Bruno ; Baronti, Stefano ; Garzelli, Andrea ; Nencini, Filippo ; Selva, Massimo

Photogrammetric engineering and remote sensing, 2008-02, Vol.74 (2), p.193-200 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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7
Unsupervised Deep Feature Learning for Urban Village Detection from High-Resolution Remote Sensing Images
Unsupervised Deep Feature Learning for Urban Village Detection from High-Resolution Remote Sensing Images
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Unsupervised Deep Feature Learning for Urban Village Detection from High-Resolution Remote Sensing Images

Li, Yansheng ; Huang, Xin ; Liu, Hui

Photogrammetric engineering and remote sensing, 2017-08, Vol.83 (8), p.567-579 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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8
A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data
A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data
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A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data

Tao, Shengli ; Guo, Qinghua ; Su, Yanjun ; Xu, Shiwu ; Li, Yumei ; Wu, Fangfang

Photogrammetric engineering and remote sensing, 2015-10, Vol.81 (10), p.767-776 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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9
Generating Pit-free Canopy Height Models from Airborne Lidar
Generating Pit-free Canopy Height Models from Airborne Lidar
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Generating Pit-free Canopy Height Models from Airborne Lidar

Khosravipour, Anahita ; Skidmore, Andrew K. ; Isenburg, Martin ; Wang, Tiejun ; Hussin, Yousif A.

Photogrammetric engineering and remote sensing, 2014-09, Vol.80 (9), p.863-872 [Periódico revisado por pares]

Bethesda, MD: American Society for Photogrammetry and Remote Sensing

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10
Monitoring Work Resumption of Wuhan in the COVID-19 Epidemic Using Daily Nighttime Light
Monitoring Work Resumption of Wuhan in the COVID-19 Epidemic Using Daily Nighttime Light
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Monitoring Work Resumption of Wuhan in the COVID-19 Epidemic Using Daily Nighttime Light

Shao, Zhenfeng ; Tang, Yun ; Huang, Xiao ; Li, Deren

Photogrammetric engineering and remote sensing, 2021-03, Vol.87 (3), p.195-204 [Periódico revisado por pares]

American Society for Photogrammetry and Remote Sensing

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