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ISPRS International Journal of Geo-Information, Volume 5, Issue 10

October 2016 - 28 articles

Cover Story: Information on the motion behavior of environmental phenomena is important in a number of applications, e.g. in precipitation now-casting or the analysis of ocean dynamics. Often, motion information is derived from images, such as weather radar, or infrared satellite images of the sea surface temperature. However, it is not always possible to detect the phenomena by remote sensing techniques and to generate such images. The research that is described in the publication "Field Motion Estimation with a Geosensor Network" is concerned with development of an algorithm for the decentralized estimation of the motion of dynamic spatio-temporal fields by the nodes of a geosensor network. A reliable and well-known optical flow algorithm is used as the basis and adjusted to the specifics of GSNs and spatio-temporal fields, such as the irregularity of samples and the strong constraints on communication and computation capacities. View the paper
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Articles (28)

  • Article
  • Open Access
9 Citations
5,605 Views
17 Pages

Geographic information has been traditionally produced by mapping agencies and corporations, using highly skilled professionals as well as expensive precision equipment and procedures, in a very costly approach. The production of land use and land co...

  • Article
  • Open Access
8 Citations
5,850 Views
18 Pages

Road anomalies, such as cracks, pits and puddles, have generally been identified by citizen reports made by e-mail or telephone; however, it is difficult for administrative entities to locate the anomaly for repair. An advanced smartphone-based solutio...

  • Article
  • Open Access
11 Citations
5,002 Views
13 Pages

In recent years, cellular floating vehicle data (CFVD) has been a popular traffic information estimation technique to analyze cellular network data and to provide real-time traffic information with higher coverage and lower cost. Therefore, this stud...

  • Article
  • Open Access
14 Citations
6,682 Views
18 Pages

Evolving Earth observation and change detection techniques enable the automatic identification of Land Use and Land Cover Change (LULCC) over a large extent from massive amounts of remote sensing data. It at the same time poses a major challenge in e...

  • Article
  • Open Access
30 Citations
6,435 Views
13 Pages

With the growing development of smart cities, public transit forecasting has begun to attract significant attention. In this paper, we propose an approach for forecasting passenger boarding choices and public transit passenger flow. Our prediction mo...

  • Article
  • Open Access
29 Citations
7,717 Views
19 Pages

Real-Time Spatial Queries for Moving Objects Using Storm Topology

  • Feng Zhang,
  • Ye Zheng,
  • Dengping Xu,
  • Zhenhong Du,
  • Yingzhi Wang,
  • Renyi Liu and
  • Xinyue Ye

With the rapid development of mobile data acquisition technology, the volume of available spatial data is growing at an increasingly fast pace. The real-time processing of big spatial data has become a research frontier in the field of Geographic Inf...

  • Article
  • Open Access
58 Citations
8,997 Views
18 Pages

Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data

  • Xiping Yang,
  • Zhixiang Fang,
  • Yang Xu,
  • Shih-Lung Shaw,
  • Zhiyuan Zhao,
  • Ling Yin,
  • Tao Zhang and
  • Yunong Lin

Investigating human mobility patterns can help researchers and agencies understand the driving forces of human movement, with potential benefits for urban planning and traffic management. Recent advances in location-aware technologies have provided m...

  • Article
  • Open Access
35 Citations
8,139 Views
14 Pages

Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data

  • Zhenlong Li,
  • Chaowei Yang,
  • Kai Liu,
  • Fei Hu and
  • Baoxuan Jin

Efficient processing of big geospatial data is crucial for tackling global and regional challenges such as climate change and natural disasters, but it is challenging not only due to the massive data volume but also due to the intrinsic complexity an...

  • Article
  • Open Access
4 Citations
4,460 Views
20 Pages

Normalized-Mutual-Information-Based Mining Method for Cascading Patterns

  • Cunjin Xue,
  • Jingyi Liu,
  • Xiaohong Li and
  • Qing Dong

A cascading pattern is a sequential pattern characterized by an item following another item in order. Recent research has investigated a challenge of dealing with cascading patterns, namely, the exponential time dependence of database scanning with r...

  • Article
  • Open Access
7 Citations
5,666 Views
30 Pages

With the emergence of various types of indoor positioning technologies (e.g., radio-frequency identification, Wi-Fi, and iBeacon), how to rapidly retrieve indoor cells and moving objects has become a key factor that limits those indoor applications....

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964