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A solution to Web-based remote sensing data access and analysis

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4 Author(s)
Y. F. Tian ; Inst. of Crustal Dynamics, Chinese Seismological Bur., Beijing, China ; J. F. Zhang ; W. P. Feng ; F. J. Zhao

In this paper, we discussed the techniques of accessing and analyzing remotely sensed data stored in Internet/intranet servers from client browsers. First, the existing approaches for Web-based image sharing are compared. Then, to overcome the limitations of present methods, we introduce a new architecture which integrates ION (IDL on Net) and ARCIMS in developing geographic data servers - processing the image data stored in database and/or in files. Some operations, such as online enhancement, classification and filtering, which cannot be implemented before, can now be easily achieved, although this is somewhat time-consuming in some cases. Finally, we set up our national Landsat-7 ETM Plus imagery database by integrating ION with ARCIMS, and desirable results were obtained.

Published in:

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.  (Volume:2 )

Date of Conference:

25-29 July 2005