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Xiaojie Cui, Jiayao Wang, Fang Wu, Jinghan Li, Xianyong Gong, Yao Zhao and Ruoxin Zhu
The spatial pattern is a kind of typical structural knowledge that reflects the distribution characteristics of object groups. As an important semantic pattern of road networks, the city center is significant to urban analysis, cartographic generalizatio...
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Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
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Pawel Cybulski
Animated cartographic visualization incorporates the concept of geomedia presented in this Special Issue. The presented study aims to examine the effectiveness of spatial pattern and temporal trend recognition on animated choropleth maps. In a controlled...
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Daichao Li, Jianqin Liang, Xingfeng Wang, Sheng Wu, Xiaowei Xie and Jiaqi Lu
Analyzing rice yields and multidimensional environmental factors at a fine scale facilitates the discovery of the planting environment patterns that guide the spatial layout of rice production. This study uses Pucheng County, Fujian Province, a demonstra...
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Chengyi Liu, Fang Wu, Xianyong Gong, Ruixing Xing and Jiawei Du
The ditch pattern reflects the distribution characteristics of an agricultural drainage system and needs to be detected to enrich the data source before map generalization. Due to several breaks, the connectivity of the ditches is destroyed between ditch...
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Xianjin He, Min Deng and Guowei Luo
Building pattern recognition is fundamental to a wide range of downstream applications, such as urban landscape evaluation, social analyses, and map generalization. Although many studies have been conducted, there is still a lack of satisfactory results,...
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Izabela Karsznia, Izabela Malgorzata Golebiowska, Jolanta Korycka-Skorupa and Tomasz Nowacki
Thoughtful consideration of the enumeration unit size in choropleth map design is important to ensure the correct communication of spatial information. However, the enumeration unit size and its influence on pattern conveying in choropleth maps have not ...
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Xiaofeng Xu, Pengcheng Liu and Mingwu Guo
Drainage network pattern recognition is a significant task with wide applications in geographic information mining, map cartography, water resources management, and urban planning. Accurate identification of spatial patterns in river networks can help us...
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Hyung-Ju Cho
This paper considers k-farthest neighbor (kFN) join queries in spatial networks where the distance between two points is the length of the shortest path connecting them. Given a positive integer k, a set of query points Q, and a set of data points P, the...
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Rundong Pu, Guoqian Ren, Haijiang Li, Wei Jiang, Jisong Zhang and Honglei Qin
Structure health inspection is the way to ensure that structures stay in optimum condition. Traditional inspection work has many disadvantages in dealing with the large workload despite using remote image-capturing devices. This research focuses on image...
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Jorge E. Morales Leal,Andrew Menzies,Hans-G. Wilke,José Zuluaga
Pág. 185 - 207
The El Peñón low-sulfidation epithermal deposit, located in the Paleocene metallogenic belt in the Antofagasta region, northern Chile, consists of Au-Ag bearing veins and hydrothermal breccias hosted in volcanic rocks and surrounded by alteration haloes ...
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Yaohui Chen, Caihui Cui, Zhigang Han, Feng Liu, Qirui Wu and Wangqin Yu
The United Nations Sustainable Development Goals (SDGs) and the rise of global sustainability science have led to the increasing recognition of basins as the key natural geographical units for human?land system coupling and spatial coordinated developmen...
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Wenjun Huang, Qun Sun, Anzhu Yu, Wenyue Guo, Qing Xu, Bowei Wen and Li Xu
Point symbols on a scanned topographic map (STM) provide crucial geographic information. However, point symbol recognition entails high complexity and uncertainty owing to the stickiness of map elements and singularity of symbol structures. Therefore, ex...
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Furkat Safarov, Mainak Basak, Rashid Nasimov, Akmalbek Abdusalomov and Young Im Cho
In the rapidly evolving landscape of internet usage, ensuring robust cybersecurity measures has become a paramount concern across diverse fields. Among the numerous cyber threats, denial of service (DoS) and distributed denial of service (DDoS) attacks p...
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Bilal Bataineh
Clustering analysis is a significant technique in various fields, including unsupervised machine learning, data mining, pattern recognition, and image analysis. Many clustering algorithms are currently used, but almost all of them encounter various chall...
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Xianjin He, Min Deng and Guowei Luo
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognition, there is sti...
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Jian Yin, Yuanhong Qiu and Bin Zhang
As an objective social phenomenon, poverty has accompanied the vicissitudes of human society, which is a chronic dilemma hindering human civilization. Remote sensing data, such as nighttime lights imagery, provides abundant poverty-related information th...
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Mengyu Ge, Shenghui Fang, Yan Gong, Pengjie Tao, Guang Yang and Wenbing Gong
Urbanization is changing the world?s surface pattern more and more drastically, which brings many social and ecological problems. Quantifying the changes in the landscape pattern and 3D structure of the city is important to understand these issues. This ...
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Martin Dolej?, Jan Pacina, Martin Veselý and Dominik Brétt
Places of past conflicts and persistent objects that reflect such events often attract the attention of archaeological prospection which facilitates the construction of conflict narratives. Field prospection as a precise method for localization of aerial...
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Jinn-Min Yang, Shih-Hsuan Wei
Pág. 68 - 72
Feature extraction (FE) or dimensionality reduction (DR) plays quite an important role in the field of pattern recognition. Feature extraction aims to reduce the dimensionality of the high-dimensional dataset to enhance the classification accuracy and fo...
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