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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover assunto: Neural Networks remover assunto: Remote Sensing remover
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Robust Visual-Inertial Integrated Navigation System Aided by Online Sensor Model Adaption for Autonomous Ground Vehicles in Urban Areas
Robust Visual-Inertial Integrated Navigation System Aided by Online Sensor Model Adaption for Autonomous Ground Vehicles in Urban Areas
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Robust Visual-Inertial Integrated Navigation System Aided by Online Sensor Model Adaption for Autonomous Ground Vehicles in Urban Areas

Bai, Xiwei ; Wen, Weisong ; Hsu, Li-Ta

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1686 [Periódico revisado por pares]

Basel: MDPI AG

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Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection
Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection
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Dynamic Data Augmentation Based on Imitating Real Scene for Lane Line Detection

Wang, Qingwang ; Wang, Lu ; Chi, Yongke ; Shen, Tao ; Song, Jian ; Gao, Ju ; Shen, Shiquan

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1212 [Periódico revisado por pares]

Basel: MDPI AG

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Memory-Enhanced Twin Delayed Deep Deterministic Policy Gradient (ME-TD3)-Based Unmanned Combat Aerial Vehicle Trajectory Planning for Avoiding Radar Detection Threats in Dynamic and Unknown Environments
Memory-Enhanced Twin Delayed Deep Deterministic Policy Gradient (ME-TD3)-Based Unmanned Combat Aerial Vehicle Trajectory Planning for Avoiding Radar Detection Threats in Dynamic and Unknown Environments
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Memory-Enhanced Twin Delayed Deep Deterministic Policy Gradient (ME-TD3)-Based Unmanned Combat Aerial Vehicle Trajectory Planning for Avoiding Radar Detection Threats in Dynamic and Unknown Environments

Li, Jiantao ; Zhang, Tianxian ; Liu, Kai

Remote sensing (Basel, Switzerland), 2023-12, Vol.15 (23), p.5494 [Periódico revisado por pares]

Basel: MDPI AG

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4
Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures
Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures
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Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures

Barmpoutis, Panagiotis ; Stathaki, Tania ; Dimitropoulos, Kosmas ; Grammalidis, Nikos

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (19), p.3177 [Periódico revisado por pares]

Basel: MDPI AG

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5
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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6
Fused Thermal and RGB Imagery for Robust Detection and Classification of Dynamic Objects in Mixed Datasets via Pre-Trained High-Level CNN
Fused Thermal and RGB Imagery for Robust Detection and Classification of Dynamic Objects in Mixed Datasets via Pre-Trained High-Level CNN
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Fused Thermal and RGB Imagery for Robust Detection and Classification of Dynamic Objects in Mixed Datasets via Pre-Trained High-Level CNN

Ben-Shoushan, Ravit ; Brook, Anna

Remote sensing (Basel, Switzerland), 2023-02, Vol.15 (3), p.723 [Periódico revisado por pares]

Basel: MDPI AG

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7
Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques
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Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques

Pedro, Dário ; Matos-Carvalho, João P. ; Fonseca, José M. ; Mora, André

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2643 [Periódico revisado por pares]

Basel: MDPI AG

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8
Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle Technology and Multi-Factor Methods: A Case Study in the East of Tibetan Plateau, China
Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle Technology and Multi-Factor Methods: A Case Study in the East of Tibetan Plateau, China
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Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle Technology and Multi-Factor Methods: A Case Study in the East of Tibetan Plateau, China

Meng, Baoping ; Gao, Jinlong ; Liang, Tiangang ; Cui, Xia ; Ge, Jing ; Yin, Jianpeng ; Feng, Qisheng ; Xie, Hongjie

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (2), p.320 [Periódico revisado por pares]

Basel: MDPI AG

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9
Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification
Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification
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Dynamic Screening Strategy Based on Feature Graphs for UAV Object and Group Re-Identification

Zhang, Guoqing ; Liu, Tianqi ; Ye, Zhonglin

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.775 [Periódico revisado por pares]

Basel: MDPI AG

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10
A Harmonious Satellite-Unmanned Aerial Vehicle-Ground Measurement Inversion Method for Monitoring Salinity in Coastal Saline Soil
A Harmonious Satellite-Unmanned Aerial Vehicle-Ground Measurement Inversion Method for Monitoring Salinity in Coastal Saline Soil
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A Harmonious Satellite-Unmanned Aerial Vehicle-Ground Measurement Inversion Method for Monitoring Salinity in Coastal Saline Soil

Zhang, Suming ; Zhao, Gengxing

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (14), p.1700 [Periódico revisado por pares]

Basel: MDPI AG

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