Title :
GeoCDX: An Automated Change Detection & Exploitation System for High Resolution Satelite Imagery
Author :
Sjahputera, O. ; Davis, C.H. ; Claywell, B.C. ; Hudson, N.J. ; Keller, J.M. ; Vincent, M.G. ; Li, Y. ; Klaric, M.N. ; Shyu, C.-R.
Author_Institution :
Center for Geospatial Intell., Univ. of Missouri-Columbia, Columbia, MO
Abstract :
The demand for high-resolution commercial satellite imagery (HR-CSI) has increased significantly over the last 5 years for a wide variety of applications. This demand has driven an increase in volume, frequency of acquisition, and spatial resolution of HR-CSI. In turn, this has spurred the need for more accurate and time-efficient processing tools for analyzing geospatial information to support user-specific applications. One such application is change detection between multi-temporal HR-CSI data. The significant increase in quantity and quality of multi-temporal HR-CSI data makes traditional manual analysis impractical. Thus, there is a need for a fully automated change detection system that not only identifies areas of change, but also allows users to filter, sort through, and analyze areas of change quickly and efficiently. Here we describe a tool - GeoCDX (Geospatial Change Detection and Exploitation) - to meet this need. GeoCDX is an integrated system that performs image ingestion and registration, feature extraction, and change analysis. The change detection results from GeoCDX are web accessible with additional interfaces to Google Earthtrade (GE) and Google Mapstrade (GM). In the near future GeoCDX will be integrated with its sister system GeoIRIS (Geospatial Information Retrieval and Indexing System). This integration will produce a very powerful HR-CSI analysis package with the change detection capabilities of GeoCDX and the content-based image retrieval system of GeoIRIS.
Keywords :
computer interfaces; feature extraction; geophysical techniques; geophysics computing; image registration; information retrieval systems; remote sensing; GeoCDX; GeoIRIS; Geospatial Change Detection and Exploitation; Geospatial Information Retrieval and Indexing System; Google Earthtrade; Google Mapstrade; automated change detection system; change analysis; feature extraction; geospatial information; high-resolution commercial satellite imagery analysis package; image ingestion; image registration; image retrieval system; multitemporal HR-CSI data; Feature extraction; Filters; Frequency; Image analysis; Image resolution; Information analysis; Information retrieval; Performance analysis; Satellites; Spatial resolution; change detection; high resolution satellite imagery; image co-registration;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4780130