16   Artículos

 
en línea
Meixiang Chen, Liping Chen, Tongchuan Yi, Ruirui Zhang, Lang Xia, Cheng Qu, Gang Xu, Weijia Wang, Chenchen Ding, Qing Tang and Mingqi Wu    
Traditional traps for Spodoptera frugiperda (J. E. Smith) monitoring require manual counting, which is time-consuming and laborious. Automatic monitoring devices based on machine vision for pests captured by sex pheromone lures have the problems of large... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Wenfeng Zheng, Xia Tian, Bo Yang, Shan Liu, Yueming Ding, Jiawei Tian and Lirong Yin    
Learning information from a single or a few samples is called few-shot learning. This learning method will solve deep learning?s dependence on a large sample. Deep learning achieves few-shot learning through meta-learning: ?how to learn by using previous... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhongyu Sun, Wangping Zhou, Chen Ding and Min Xia    
Extracting buildings and roads from remote sensing images is very important in the area of land cover monitoring, which is of great help to urban planning. Currently, a deep learning method is used by the majority of building and road extraction algorith... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Shuiqing Zhou, Qizhi Yang, Laifa Lu, Ding Xia, Weitao Zhang and Hao Yan    
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiao Zhang, Zhi Ding, Shao-Heng He, Gui-Di Zhang, Miao-Miao Sun and Tang-Dai Xia    
Based on the lateral consolidation compression experiment of remolded soil simulating the effects of pile driving and soil squeezing, in this paper, the microstructures of soil with different degrees of lateral consolidation were investigated by a scanni... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Cheng Ding, Liguo Weng, Min Xia and Haifeng Lin    
Building and road extraction from remote sensing images is of great significance to urban planning. At present, most of building and road extraction models adopt deep learning semantic segmentation method. However, the existing semantic segmentation meth... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Tianfeng Wei, Donghui Shangguan, Xia Shen, Yongjian Ding and Shuhua Yi    
The Kaxgar River Basin, a key section of the Tarim River Basin, is a typical ecologically fragile region that has undergone rapid changes to its spatial patterns over the preceding few decades. In particular, the expansion of salinized land has posed a s... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yun Zhang, Zhi Tang, Jing Huang, Yue Ding, Hao He, Xiaosheng Xia and Chunhua Li    
The copyright of data is a key point that needs to be solved in spatial data infrastructure for data sharing. In this paper, we propose a decentralized digital rights management model of spatial data, which can provide a novel way of solving the existing... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Shao-Heng He, Qiong-Fang Zhang, Zhi Ding, Tang-Dai Xia and Xiao-Lu Gan    
Coral sand is an important filler resource that can solve the shortage of terrestrial fillers in coastal areas. Recently, the foundations of many infrastructures in the South China Sea have been built with coral sand as fillers, which have been subjected... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Bowen Kong, Fan Xia, Bingqi Yu, Tangdai Xia and Zhi Ding    
Artificial freezing methods can help highlight the mechanical properties of marine clay. The construction of cross passages in metro tunnels employs the freezing method. Freeze?thaw circulation, which is part of the process, affects the engineering prope... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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