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Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model
Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model
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Ground Risk Assessment for Unmanned Aircraft Systems Based on Dynamic Model

Jiao, Qingyu ; Liu, Yansi ; Zheng, Zhigang ; Sun, Linshi ; Bai, Yiqin ; Zhang, Zhengjuan ; Sun, Longni ; Ren, Gaosheng ; Zhou, Guangyu ; Chen, Xinfeng ; Yan, Yan

Drones (Basel), 2022-11, Vol.6 (11), p.324 [Periódico revisado por pares]

Basel: MDPI AG

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2
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm

Pan, Wen ; Wang, Xiaoyu ; Sun, Yan ; Wang, Jia ; Li, Yanjie ; Li, Sheng

Plant methods, 2023-01, Vol.19 (1), p.7-7, Article 7 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
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Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control

Silvestrini, Stefano ; Lavagna, Michèle

Drones (Basel), 2022-09, Vol.6 (10), p.270 [Periódico revisado por pares]

Basel: MDPI AG

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4
An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation
An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation
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An End to End Process Development for UAV-SfM Based Forest Monitoring: Individual Tree Detection, Species Classification and Carbon Dynamics Simulation

Fujimoto, Ayana ; Haga, Chihiro ; Matsui, Takanori ; Machimura, Takashi ; Hayashi, Kiichiro ; Sugita, Satoru ; Takagi, Hiroaki

Forests, , Vol.10 (8), p.680 [Periódico revisado por pares]

Basel: MDPI AG

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5
Pine-YOLO: A Method for Detecting Pine Wilt Disease in Unmanned Aerial Vehicle Remote Sensing Images
Pine-YOLO: A Method for Detecting Pine Wilt Disease in Unmanned Aerial Vehicle Remote Sensing Images
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Pine-YOLO: A Method for Detecting Pine Wilt Disease in Unmanned Aerial Vehicle Remote Sensing Images

Yao, Junsheng ; Song, Bin ; Chen, Xuanyu ; Zhang, Mengqi ; Dong, Xiaotong ; Liu, Huiwen ; Liu, Fangchao ; Zhang, Li ; Lu, Yingbo ; Xu, Chang ; Kang, Ran

Forests, 2024-05, Vol.15 (5), p.737 [Periódico revisado por pares]

Basel: MDPI AG

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6
A Multi-Subsampling Self-Attention Network for Unmanned Aerial Vehicle-to-Ground Automatic Modulation Recognition System
A Multi-Subsampling Self-Attention Network for Unmanned Aerial Vehicle-to-Ground Automatic Modulation Recognition System
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A Multi-Subsampling Self-Attention Network for Unmanned Aerial Vehicle-to-Ground Automatic Modulation Recognition System

Shen, Yongjian ; Yuan, Hao ; Zhang, Pengyu ; Li, Yuheng ; Cai, Minkang ; Li, Jingwen

Drones (Basel), 2023-06, Vol.7 (6), p.376 [Periódico revisado por pares]

Basel: MDPI AG

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7
Integration of Unmanned Aerial Vehicle Spectral and Textural Features for Accurate Above-Ground Biomass Estimation in Cotton
Integration of Unmanned Aerial Vehicle Spectral and Textural Features for Accurate Above-Ground Biomass Estimation in Cotton
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Integration of Unmanned Aerial Vehicle Spectral and Textural Features for Accurate Above-Ground Biomass Estimation in Cotton

Chen, Maoguang ; Yin, Caixia ; Lin, Tao ; Liu, Haijun ; Wang, Zhenyang ; Jiang, Pingan ; Ali, Saif ; Tang, Qiuxiang ; Jin, Xiuliang

Agronomy (Basel), 2024-06, Vol.14 (6), p.1313 [Periódico revisado por pares]

Basel: MDPI AG

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8
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
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Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

Han, Liang ; Yang, Guijun ; Dai, Huayang ; Xu, Bo ; Yang, Hao ; Feng, Haikuan ; Li, Zhenhai ; Yang, Xiaodong

Plant methods, 2019-02, Vol.15 (1), p.10-10, Article 10 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios
Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios
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Efficient Focus Autoencoders for Fast Autonomous Flight in Intricate Wild Scenarios

Hu, Kaiyu ; Li, Huanlin ; Zhuang, Jiafan ; Hao, Zhifeng ; Fan, Zhun

Drones (Basel), 2023-10, Vol.7 (10), p.609 [Periódico revisado por pares]

Basel: MDPI AG

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10
VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV
VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV
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VisionICE: Air–Ground Integrated Intelligent Cognition Visual Enhancement System Based on a UAV

Li, Qingge ; Yang, Xiaogang ; Lu, Ruitao ; Fan, Jiwei ; Wang, Siyu ; Qin, Zhen

Drones (Basel), 2023-04, Vol.7 (4), p.268 [Periódico revisado por pares]

Basel: MDPI AG

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