174 related articles for article (PubMed ID: 37285360)
1. Real-time scene classification of unmanned aerial vehicles remote sensing image based on Modified GhostNet.
Shen X; Wang H; Wei B; Cao J
PLoS One; 2023; 18(6):e0286873. PubMed ID: 37285360
[TBL] [Abstract][Full Text] [Related]
2. ASG-YOLOv5: Improved YOLOv5 unmanned aerial vehicle remote sensing aerial images scenario for small object detection based on attention and spatial gating.
Shi H; Yang W; Chen D; Wang M
PLoS One; 2024; 19(6):e0298698. PubMed ID: 38829850
[TBL] [Abstract][Full Text] [Related]
3. An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification.
Yu D; Xu Q; Guo H; Zhao C; Lin Y; Li D
Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32252483
[TBL] [Abstract][Full Text] [Related]
4. A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification.
Yu Y; Liu F
Comput Intell Neurosci; 2018; 2018():8639367. PubMed ID: 29581722
[TBL] [Abstract][Full Text] [Related]
5. Analysis on security-related concerns of unmanned aerial vehicle: attacks, limitations, and recommendations.
Siddiqi MA; Iwendi C; Jaroslava K; Anumbe N
Math Biosci Eng; 2022 Jan; 19(3):2641-2670. PubMed ID: 35240800
[TBL] [Abstract][Full Text] [Related]
6. White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification.
Nadana Ravishankar T; Ramprasath M; Daniel A; Selvarajan S; Subbiah P; Balusamy B
Sci Rep; 2023 Dec; 13(1):23041. PubMed ID: 38155207
[TBL] [Abstract][Full Text] [Related]
7. Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data.
Gebrehiwot A; Hashemi-Beni L; Thompson G; Kordjamshidi P; Langan TE
Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30934695
[TBL] [Abstract][Full Text] [Related]
8. Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI.
Raniga D; Amarasingam N; Sandino J; Doshi A; Barthelemy J; Randall K; Robinson SA; Gonzalez F; Bollard B
Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400222
[TBL] [Abstract][Full Text] [Related]
9. Fast Helmet and License Plate Detection Based on Lightweight YOLOv5.
Wei C; Tan Z; Qing Q; Zeng R; Wen G
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177535
[TBL] [Abstract][Full Text] [Related]
10. Development of Multiple UAV Collaborative Driving Systems for Improving Field Phenotyping.
Lee HS; Shin BS; Thomasson JA; Wang T; Zhang Z; Han X
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214326
[TBL] [Abstract][Full Text] [Related]
11. Effective coastal Escherichia coli monitoring by unmanned aerial vehicles (UAV) thermal infrared images.
Cheng KH; Jiao JJ; Luo X; Yu S
Water Res; 2022 Aug; 222():118900. PubMed ID: 35932703
[TBL] [Abstract][Full Text] [Related]
12. Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV.
de Oliveira DC; Wehrmeister MA
Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 30002290
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.
Petrovska B; Zdravevski E; Lameski P; Corizzo R; Štajduhar I; Lerga J
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32674254
[TBL] [Abstract][Full Text] [Related]
14. Transformer based on channel-spatial attention for accurate classification of scenes in remote sensing image.
Guo J; Jia N; Bai J
Sci Rep; 2022 Sep; 12(1):15473. PubMed ID: 36104442
[TBL] [Abstract][Full Text] [Related]
15. Sustainable monitoring coverage of unmanned aerial vehicle photogrammetry according to wing type and image resolution.
Park S; Lee H; Chon J
Environ Pollut; 2019 Apr; 247():340-348. PubMed ID: 30690230
[TBL] [Abstract][Full Text] [Related]
16. [Small unmanned aerial vehicles for low-altitude remote sensing and its application progress in ecology.].
Sun ZY; Chen YQ; Yang L; Tang GL; Yuan SX; Lin ZW
Ying Yong Sheng Tai Xue Bao; 2017 Feb; 28(2):528-536. PubMed ID: 29749161
[TBL] [Abstract][Full Text] [Related]
17. Species level mapping of a seagrass bed using an unmanned aerial vehicle and deep learning technique.
Tahara S; Sudo K; Yamakita T; Nakaoka M
PeerJ; 2022; 10():e14017. PubMed ID: 36275465
[TBL] [Abstract][Full Text] [Related]
18. A Lightweight Algorithm for Insulator Target Detection and Defect Identification.
Han G; Zhao L; Li Q; Li S; Wang R; Yuan Q; He M; Yang S; Qin L
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772255
[TBL] [Abstract][Full Text] [Related]
19. Automated mapping of
Galuszynski NC; Duker R; Potts AJ; Kattenborn T
PeerJ; 2022; 10():e14219. PubMed ID: 36262418
[TBL] [Abstract][Full Text] [Related]
20. Are unmanned aerial vehicle-based hyperspectral imaging and machine learning advancing crop science?
Matese A; Prince Czarnecki JM; Samiappan S; Moorhead R
Trends Plant Sci; 2024 Feb; 29(2):196-209. PubMed ID: 37802693
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]