|
|
|
|
|
Xinmin Li, Yingkun Wei, Jiahui Li, Wenwen Duan, Xiaoqiang Zhang and Yi Huang
Object detection in unmanned aerial vehicle (UAV) images has become a popular research topic in recent years. However, UAV images are captured from high altitudes with a large proportion of small objects and dense object regions, posing a significant cha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Márton Pál and Edina Hajdú
Various modern large-scale mapping techniques have already been introduced in earth sciences, cadastral mapping, and the agricultural sector. These methodologies often use remotely sensed data to compile various analogue or digital cartographic products ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Joseph Oakes, Maria Balota, Alexandre-Brice Cazenave and Wade Thomason
Tiller density is indicative of the overall health of winter wheat (Triticum aestivum L.) and is used to determine in-season nitrogen (N) application. If tiller density exceeds 538 tillers per m2 at GS 25, then an N application at that stage is not neede...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hao Qi, Shi-Jie Cao, Jia-Yue Wu, Yi-Ming Peng, Hong Nie and Xiao-Hui Wei
The tail-sitter VTOL UAV boasts not only high-speed cruising and air hovering capabilities, but also its unique tail-sitting vertical takeoff and landing and hovering attitude enable aerial operations with an exceptionally small cross-sectional area. Thi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guoqing Feng, Cheng Wang, Aichen Wang, Yuanyuan Gao, Yanan Zhou, Shuo Huang and Bin Luo
Crop lodging is an important cause of direct economic losses and secondary disease transmission in agricultural production. Most existing methods for segmenting wheat lodging areas use a large-volume network, which poses great difficulties for annotation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sadia Alam Shammi, Yanbo Huang, Gary Feng, Haile Tewolde, Xin Zhang, Johnie Jenkins and Mark Shankle
The application of remote sensing, which is non-destructive and cost-efficient, has been widely used in crop monitoring and management. This study used a built-in multispectral imager on a small unmanned aerial vehicle (UAV) to capture multispectral imag...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zijia Zheng, Yizhu Jiang, Qiutong Zhang, Yanling Zhong and Lizheng Wang
The timely monitoring of urban water bodies using unmanned aerial vehicle (UAV)-mounted remote sensing technology is crucial for urban water resource protection and management. Addressing the limitations of the use of satellite data in inferring the wate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yingying Ren, Ryan D. Restivo, Wenkai Tan, Jian Wang, Yongxin Liu, Bin Jiang, Huihui Wang and Houbing Song
As a core component of small unmanned aerial vehicles (UAVs), GPS is playing a critical role in providing localization for UAV navigation. UAVs are an important factor in the large-scale deployment of the Internet of Things (IoT) and cyber?physical syste...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jian Song, Zhihong Yu, Guimei Qi, Qiang Su, Jingjing Xie and Wenhang Liu
There are many small objects in UAV images, and the object scale varies greatly. When the SSD algorithm detects them, the backbone network?s feature extraction capabilities are poor; it does not fully utilize the semantic information in the deeper featur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinjian Xiang, Haibin Hu, Yi Ding, Yongping Zheng and Shanbao Wu
This study proposes a GC-YOLOv5s crack-detection network of UAVs to work out several issues, such as the low efficiency, low detection accuracy caused by shadows, occlusions and low contrast, and influences due to road noise in the classic crack-detectio...
ver más
|
|
|
|
|
|