Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W1, 81-85, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/81/2013/
doi:10.5194/isprsarchives-XL-7-W1-81-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
12 Jul 2013
INTEGRATING MULTI-SOURCE IMAGERY DATA IN A GIS SYSTEM
Q. Liu Environmental System Research Institute (Esri) Redlands, CA, USA
Keywords: Image registration, image integration, mosaic dataset, dynamic image processing, GIS Abstract. More and more volumes of high quality imagery data are becoming available than ever and it brings a challenge to the industry on how to integrate data from multi-sources effectively and timely to extract information of improved accuracy for a widespread field of applications. Over the past decade, we have witnessed the advance of tightening integration of imagery data in a GIS system. Imagery data takes advantage of the geodatabase management architecture and enriches the GIS system. Empowered with intuitive user interface and advanced tools, ArcGIS provides a great platform for one-stop integration of multi-source, multi-resolution, and multi-temporal imagery data with pre-processing, managing, visualizing, analyzing and sharing functionalities. This paper will discuss some of the core imagery capabilities in ArcGIS including interactive and automatic data correction and registration, intelligent and versatile data models for data crawling, on-the-fly data processing, and data disseminating.
Conference paper (PDF, 582 KB)


Citation: Liu, Q.: INTEGRATING MULTI-SOURCE IMAGERY DATA IN A GIS SYSTEM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W1, 81-85, doi:10.5194/isprsarchives-XL-7-W1-81-2013, 2013.

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