“Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey.”IEEE Geoscience and Remote Sensing Magazine10 (2021): 91-124. 随着数据驱动的深度学习方法的发展,研究人员做出了很多贡献,为无人机遥感中的物体检测(包括图像和视频)和跟踪开发了各种参考数据集,以帮助进一步研究和...
The wide range of applications supported by UAV-based person detection algorithms, the lack of a representative dataset, and the low baseline performance of small object detection algorithms have motivated us to create a dataset and explore various algorithms for small object detection. The major cont...
UAS-based Multispectral othomosaics of vineyards from central Portugal 2 distinct vineyards Multispectral and HD orthomosaics
sents the first high-precision UAV-based dataset for targeted detection of tree pests and diseases, which is collected in real-world operational environments and aims to fill the gap in available datasets for this field. Moreover, by aggregating public datasets and network data, we further ...
Due to the lack of suitable UAV-based datasets for rice disease, we generate our own dataset through disease inoculation techniques in experimental paddy fields. The dataset is increased using data augmentation and patch extraction methods to improve training robustness. Ou...
In the first phase, the CNN model extracts useful chest features, which are fed to a Bayesian optimizer function to fine-tune the CNN hyper-parameters based on the selected objectives. the dataset is prepared with 10,848 images, with 3616 COVID-19 positive cases, and an equal amount of ...
The dataset created was analyzed using RStudio [33]. Table 2. Categories of the parameters extracted from screened articles in the database. The keyword clustering analysis was performed using Zotero (George Mason University, Fairfax, VA, USA) [36] to create the Research Information Systems ...
UVSD is a large dataset for UAV based vehicle detection and segmentation. UVSD contains 5,874 images with 98,600 instances with high quality instance-level semantic annotations, which are captured by drones in different places at different heights. In UVSD, part of pictures come from Vidrone,...
ranging from slight damage to complete destruction after a disaster. While xBD dataset9classifies buildings based on four different damage levels, it is a low-resolution satellite dataset, resulting in poor image quality. To address this limitation, RescueNet provides building segmentation labels with ...
Dataset that associates with the paper "AMOVFLY: Enabling Advanced UAV Modeling with the Comprehensive Flight Status Dataset", which has been submitted to IEEE Transactions on Robotics uavdatasetsuavsimulation UpdatedDec 17, 2024 This project is about training a deep neural network to identify and ...