Web-Based Remote Sensing Image Processing Tools - A Study of Change Detection Using Landsat Imagery

Taking advantages of web service, remote sensing image distributed processing occurs, which aims at the shortcomings of standalone solutions. In this paper, efforts have focused on interaction as well as efficiency of web-based remote sensing image change detection. The system framework consists of OGC WCS specification, Browser-Server three-tiered structure, and image change detection workflow. A pair of 4-3-2 TM bands combination images have been taken to execute an experiment. The result corresponds to actual condition.

[1]  Ozy Sjahputera,et al.  GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Xiaokang Yang,et al.  Advances on Digital Television and Wireless Multimedia Communications , 2012, Communications in Computer and Information Science.

[3]  Zhang Xu,et al.  Research on a Kind of Web Based Distributed Forest Remote Sensing Parallel Processing Service , 2011 .

[4]  Peng Yue,et al.  The Geoprocessing Web , 2012, Comput. Geosci..

[5]  Junli Li,et al.  Remotely sensed image distributed processing system design with web services technology , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[6]  Giovanni Aloisio,et al.  An XML architecture for high-performance web-based analysis of remote-sensing archives , 1999, Future Gener. Comput. Syst..

[7]  Surya S. Durbha,et al.  A Proposal for the Standardization of Image Information Mining Systems via OGC Web Services Framework , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[8]  Honghua Tan,et al.  Advances in Information Technology and Education , 2011 .

[9]  Liping Di,et al.  Building a Web-Services Based Geospatial Online Analysis System , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  Chen Shen,et al.  Research on Networked Integration Technology of Remote Sensing Image Processing , 2012, IFTC.