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Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
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Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

Revenga, Jaime C. ; Trepekli, Katerina ; Oehmcke, Stefan ; Jensen, Rasmus ; Li, Lei ; Igel, Christian ; Gieseke, Fabian Cristian ; Friborg, Thomas

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (16), p.3912 [Periódico revisado por pares]

Basel: MDPI AG

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2
Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning
Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning
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Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning

Singh, Arunima ; Kushwaha, Sunni Kanta Prasad ; Nandy, Subrata ; Padalia, Hitendra ; Ghosh, Surajit ; Srivastava, Ankur ; Kumari, Nikul

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (4), p.1143 [Periódico revisado por pares]

Basel: MDPI AG

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3
Aboveground Forest Biomass Estimation Using Tent Mapping Atom Search Optimized Backpropagation Neural Network with Landsat 8 and Sentinel-1A Data
Aboveground Forest Biomass Estimation Using Tent Mapping Atom Search Optimized Backpropagation Neural Network with Landsat 8 and Sentinel-1A Data
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Aboveground Forest Biomass Estimation Using Tent Mapping Atom Search Optimized Backpropagation Neural Network with Landsat 8 and Sentinel-1A Data

Chen, Zhao ; Sun, Zhibin ; Zhang, Huaiqing ; Zhang, Huacong ; Qiu, Hanqing

Remote sensing (Basel, Switzerland), 2023-12, Vol.15 (24), p.5653 [Periódico revisado por pares]

Basel: MDPI AG

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4
Accounting for Training Data Error in Machine Learning Applied to Earth Observations
Accounting for Training Data Error in Machine Learning Applied to Earth Observations
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Accounting for Training Data Error in Machine Learning Applied to Earth Observations

Elmes, Arthur ; Alemohammad, Hamed ; Avery, Ryan ; Caylor, Kelly ; Eastman, J. ; Fishgold, Lewis ; Friedl, Mark ; Jain, Meha ; Kohli, Divyani ; Laso Bayas, Juan ; Lunga, Dalton ; McCarty, Jessica ; Pontius, Robert ; Reinmann, Andrew ; Rogan, John ; Song, Lei ; Stoynova, Hristiana ; Ye, Su ; Yi, Zhuang-Fang ; Estes, Lyndon

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.1034 [Periódico revisado por pares]

Basel: MDPI AG

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5
Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning
Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning
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Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning

Yang, Feng ; Yuan, Xiangyue ; Ran, Jie ; Shu, Wenqiang ; Zhao, Yue ; Qin, Anyong ; Gao, Chenqiang

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (23), p.4774 [Periódico revisado por pares]

Basel: MDPI AG

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6
Activity Detection in Indoor Environments Using Multiple 2D Lidars
Activity Detection in Indoor Environments Using Multiple 2D Lidars
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Activity Detection in Indoor Environments Using Multiple 2D Lidars

Bouazizi, Mondher ; Mora, Alejandro Lorite ; Feghoul, Kevin ; Ohtsuki, Tomoaki

Sensors (Basel, Switzerland), 2024-01, Vol.24 (2), p.626 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
AD-SiamRPN: Anti-Deformation Object Tracking via an Improved Siamese Region Proposal Network on Hyperspectral Videos
AD-SiamRPN: Anti-Deformation Object Tracking via an Improved Siamese Region Proposal Network on Hyperspectral Videos
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AD-SiamRPN: Anti-Deformation Object Tracking via an Improved Siamese Region Proposal Network on Hyperspectral Videos

Wang, Shiqing ; Qian, Kun ; Shen, Jianlu ; Ma, Hongyu ; Chen, Peng

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (7), p.1731 [Periódico revisado por pares]

Basel: MDPI AG

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8
Adaptive CNN Ensemble for Complex Multispectral Image Analysis
Adaptive CNN Ensemble for Complex Multispectral Image Analysis
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Adaptive CNN Ensemble for Complex Multispectral Image Analysis

Jameel, Syed Muslim ; Hashmani, Manzoor Ahmed ; Rehman, Mobashar ; Budiman, Arif Comminiello, Danilo ; Danilo Comminiello

Complexity (New York, N.Y.), 2020, Vol.2020, p.1-21 [Periódico revisado por pares]

Hoboken: Hindawi

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9
ADNet: A Real-Time Floating Algae Segmentation Using Distillation Network
ADNet: A Real-Time Floating Algae Segmentation Using Distillation Network
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ADNet: A Real-Time Floating Algae Segmentation Using Distillation Network

Xu, Jingjing ; Wang, Lei

Journal of marine science and engineering, 2024-06, Vol.12 (6), p.852 [Periódico revisado por pares]

Basel: MDPI AG

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10
Advanced Machine Learning and Deep Learning Approaches for Remote Sensing
Advanced Machine Learning and Deep Learning Approaches for Remote Sensing
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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

Jeon, Gwanggil

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (11), p.2876 [Periódico revisado por pares]

Basel: MDPI AG

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