A real-time perspective towards the fusion of geographic information

Han Wen Liu, Jung-Hong Hong

Research output: Contribution to conferencePaper

Abstract

The rapid growth of sensor and IoT technology brings revolutionary impacts on the improvement of the quality of humans’ daily lives. A tremendous volume of sensed data is continuously collected and distributed via mobile network to meet a vary of applications all over the world. However, the availability of data does not necessarily mean the data can automatically fit together. Especially for applications in smart cities which often demands the fusion of real-time data from different resources for making prompt decisions, the correct and comprehensive understanding about the data being used is extremely important. As current applications rarely address the “real time” issue in an appropriate manner, we pay our attention to the modelling and interpretation of GIS data from a temporal perspective in this paper. A conceptual model specifically modelling the various properties of real-time GIS data is proposed. The design aims to provide necessary real-time considerations for both observations and alert information to ensure the data acquired from different resources can be processed and fused together in a standardized and interoperability way. Based on the standardized modelling framework, we further propose a status-aware interface with a few working modes, we take latest available as an example for presenting GIS data based on the consideration of real-time, data type and quality. The interface design is augmented with cartographic knowledge to enable users to visually distinguish data with different real-time status and avoid wrong decision making. In addition to the map interface, analyzed outcomes are also presented with textual or quantitative measures to provide additional guidance. As real-time GIS applications often operate under extremely high time pressure, the proposed standardized approach proves to be able to provide a feasible solution to improve the accuracy and efficiency of data fusion in GIS applications.

Original languageEnglish
Pages229-238
Number of pages10
Publication statusPublished - 2018 Jan 1
Event39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018 - Kuala Lumpur, Malaysia
Duration: 2018 Oct 152018 Oct 19

Conference

Conference39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018
CountryMalaysia
CityKuala Lumpur
Period18-10-1518-10-19

Fingerprint

Geographic information systems
GIS
Decision making
Data fusion
Interoperability
Wireless networks
Availability
decision making
modeling
Sensors
resource
sensor

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Earth and Planetary Sciences(all)
  • Computer Networks and Communications

Cite this

Liu, H. W., & Hong, J-H. (2018). A real-time perspective towards the fusion of geographic information. 229-238. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.
Liu, Han Wen ; Hong, Jung-Hong. / A real-time perspective towards the fusion of geographic information. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.10 p.
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Liu, HW & Hong, J-H 2018, 'A real-time perspective towards the fusion of geographic information', Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia, 18-10-15 - 18-10-19 pp. 229-238.

A real-time perspective towards the fusion of geographic information. / Liu, Han Wen; Hong, Jung-Hong.

2018. 229-238 Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.

Research output: Contribution to conferencePaper

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Liu HW, Hong J-H. A real-time perspective towards the fusion of geographic information. 2018. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.