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ISPRS International Journal of Geo-Information, Volume 6, Issue 8

August 2017 - 30 articles

Cover Story: Pedestrian indoor localization systems often harness existing Wi-Fi infrastructures within any given building. The location is often determined via fingerprints, denoting the receivable signal strengths for hundreds of locations within the building. While this provides maximal accuracy, setup and maintenance times take too long. Alternatively, prediction models could be used to estimate receivable signal strengths, providing a trade-off between setup-time and accuracy. We examine the achievable accuracy of such models by optimizing their parameters depending on several levels of available knowledge—tarting with a fully empiric instant setup, up to a highly-optimized scenario based on a few reference measurements. Finally, we propose a new signal strength prediction model as a combination of several simple ones to further increase the accuracy. View the paper
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Articles (30)

  • Article
  • Open Access
35 Citations
7,900 Views
14 Pages

As an extension of the traditional Land Use Regression (LUR) modelling, the generalized additive model (GAM) was developed in recent years to explore the non-linear relationships between PM2.5 concentrations and the factors impacting it. However, the...

  • Article
  • Open Access
8 Citations
6,187 Views
19 Pages

The Silk Road opened during the Han Dynasty, and is significant in global cultural communication. Along this route in the central part of Xinjiang, the archaeological sites with defensive characteristics once provided a safeguard for this area. Recon...

  • Article
  • Open Access
24 Citations
9,664 Views
16 Pages

With the rapid development of China’s economy, the demand for labor in the coastal cities continues to grow. Due to restrictions imposed by China’s household registration system, a large number of floating populations have subsequently appeared. The...

  • Article
  • Open Access
48 Citations
10,879 Views
26 Pages

As an intermediate step between raw remote sensing data and digital maps, remote sensing data classification has been a challenging and long-standing problem in the remote sensing research community. In this work, an automated and effective supervise...

  • Article
  • Open Access
10 Citations
6,010 Views
18 Pages

The Water Sector Development Programme (WSDP) of Tanzania aims to improve the performance of the water sector in general and rural water supply (RWS) in particular. During the first phase of the WSDP (2007 to 2014), implementing agencies developed in...

  • Communication
  • Open Access
22 Citations
9,181 Views
18 Pages

Nationwide Point Cloud—The Future Topographic Core Data

  • Juho-Pekka Virtanen,
  • Antero Kukko,
  • Harri Kaartinen,
  • Anttoni Jaakkola,
  • Tuomas Turppa,
  • Hannu Hyyppä and
  • Juha Hyyppä

Topographic databases maintained by national mapping agencies are currently the most common nationwide data sets in geo-information. The application of laser scanning as source data for surveying is increasing. Along with this development, several an...

  • Article
  • Open Access
15 Citations
4,141 Views
15 Pages

This paper presents a new method for use in performing continuous scale transformations of linear features using Simulated Annealing-Based Morphing (SABM). This study addresses two key problems in the continuous generalization of linear features by m...

  • Article
  • Open Access
60 Citations
9,313 Views
17 Pages

This paper integrates UWB (ultra-wideband) and IMU (Inertial Measurement Unit) data to realize pedestrian positioning through a particle filter in a non-line-of-sight (NLOS) environment. After the acceleration and angular velocity are integrated by t...

  • Article
  • Open Access
28 Citations
8,885 Views
11 Pages

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

  • Tomáš Řezník,
  • Vojtěch Lukas,
  • Karel Charvát,
  • Karel Charvát,
  • Zbyněk Křivánek,
  • Michal Kepka,
  • Lukáš Herman and
  • Helena Řezníková

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which impl...

  • Article
  • Open Access
10 Citations
5,297 Views
13 Pages

Pasture performance of 924 dairy farms in a major irrigation district of Australia was investigated for their water use and water productivity during the 2015-2016 summer which was the peak irrigation period. Using satellite images from Landsat-8 and...

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