Urban real estate dynamic monitoring using 3S integration in a mobile environment

Author

He Bing ; Chen Peng ; Tong Xiao-hua ; Cai Yin-qiao ; Qu Bo

Author_Institution

Dept. of Surveying & Geo-Inf., Tongji Univ., Shanghai, China

fYear

2009

fDate

20-22 May 2009

Firstpage

1

Lastpage

6

Abstract

This paper proposed a technique for integration of 3S (GIS, RS and GPS) in urban real estate dynamic monitoring within a mobile environment. The framework of the technique includes two major parts: one is the change detection of buildings from high resolution satellite images, the other one is the dynamic monitoring based on 3S integration within a mobile GIS environment. The processing methods of geometric correction, image fusion, building extraction and interactive change detection are discussed. Based on the information of change detection, a monitoring system is utilized by using 3S integration technique in a mobile GIS environment. The ground monitoring data is collected using a PDA GIS system, and the information is sent to the GIS server database to update the related data through the mobile GIS.

Keywords

Global Positioning System; feature extraction; geographic information systems; geophysics computing; image fusion; object detection; remote sensing; 3S integration technique; GIS server database; GPS techniques; Global Positioning System; building extraction; buildings change detection; geographic information systems; geometric correction methods; ground monitoring data collection; high resolution satellite images; image fusion; interactive change detection; mobile GIS environment; monitoring system; urban real estate dynamic monitoring; Buildings; Data mining; Databases; Geographic Information Systems; Global Positioning System; Image resolution; Mobile computing; Personal digital assistants; Remote monitoring; Spatial resolution; Building Extraction; Change Detection; Geographic Information System; Global Positioning System; Remote Sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event, 2009 Joint

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3460-2

Electronic_ISBN

978-1-4244-3461-9

Type

conf

DOI

10.1109/URS.2009.5137550

Filename

5137550