34   Artículos

 
en línea
Hang Li, Shengjie Zhao and Hao Deng    
The extraction of community-scale green infrastructure (CSGI) poses challenges due to limited training data and the diverse scales of the targets. In this paper, we reannotate a training dataset of CSGI and propose a three-stage transfer learning method ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Hui Liu, Kun Li, Luyao Ma and Zhijun Meng    
Headland boundary identification and ranging are the key supporting technologies for the automatic driving of intelligent agricultural machinery, and they are also the basis for controlling operational behaviors such as autonomous turning and machine lif... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xiaobo Zhuang and Yaoming Li    
Rice lodging not only brings trouble to harvesting but also reduces yield. Therefore, the effective identification of rice lodging is of great significance. In this paper, we have designed a bilinear interpolation upsampling feature fusion module (BIFF) ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Wei Chen, Xianglin Fu, Wanqing Chen and Zijun Peng    
For the development of reinforced concrete structures and infrastructure construction, traditional rebar checking and acceptance methods have shortcomings in terms of efficiency. The use of digital image processing technology cannot easily identify a reb... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiahui Qian, Wenjun Xia, Zhangyan Zhao and Faju Qiu    
Due to uncontrollable influences of the manufacturing process and different construction environments, there are significant challenges to extracting accurate positioning points for the lifting holes in prefabricated beams. In this study, we propose a tw... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Kolja Hedrich, Lennart Hinz and Eduard Reithmeier    
The automation of inspections in aircraft engines is an ever-increasing growing field of research. In particular, the inspection and quantification of coating damages in confined spaces, usually performed manually with handheld endoscopes, comprise tasks... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
I.A. Lozhkin,M.E. Dunaev,K.S. Zaytsev,A.A. Garmash     Pág. 109 - 117
The purpose of this work is to study the effectiveness of augmentation methods of image sets when they are insufficient in training sample of neural networks for solving semantic segmentation problems. For this purpose, the main groups of augmentation me... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

 
en línea
Mateo Cano-Solis, John R. Ballesteros and German Sanchez-Torres    
Vegetation encroachment in power line corridors remains a major challenge for modern energy-dependent societies, as it can cause power outages and lead to significant financial losses. Unmanned Aerial Vehicles (UAVs) have emerged as a promising solution ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wuttichai Boonpook, Yumin Tan, Attawut Nardkulpat, Kritanai Torsri, Peerapong Torteeka, Patcharin Kamsing, Utane Sawangwit, Jose Pena and Montri Jainaen    
Using deep learning semantic segmentation for land use extraction is the most challenging problem in medium spatial resolution imagery. This is because of the deep convolution layer and multiple levels of deep steps of the baseline network, which can cau... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ya-Hong Wang, Jun-Jiang Li and Wen-Hao Su    
Fusarium has become a major impediment to stable wheat production in many regions worldwide. Infected wheat plants not only experience reduced yield and quality but their spikes generate toxins that pose a significant threat to human and animal health. C... ver más
Revista: Agriculture    Formato: Electrónico

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