GeoInformatica

, Volume 20, Issue 4, pp 629–649 | Cite as

Developing a web-based system for supervised classification of remote sensing images

  • Ziheng Sun
  • Hui Fang
  • Liping Di
  • Peng Yue
  • Xicheng Tan
  • Yuqi Bai
Article
  • 508 Downloads

Abstract

Web-based image classification systems aim to provide users with an easy access to image classification function. The existing work mainly focuses on web-based unsupervised classification systems. This paper proposes a web-based supervised classification system framework which includes three modules: client, servlet and service. It comprehensively describes how to combine the procedures of supervised classification into the development of a web system. A series of methods are presented to realize the modules respectively. A prototype system of the framework is also implemented and a number of remote sensing (RS) images are tested on it. Experiment results show that the prototype is capable of accomplishing supervised classification of RS images on the Web. If appropriate algorithms and parameter values are used, the results of the web-based solution could be as accurate as the results of traditional desktop-based systems. This paper lays the foundation on both theoretical and practical aspects for the future development of operational web-based supervised classification systems.

Keywords

Supervised classification Geoprocessing web service Web-based processing system Remote sensing image Cyberinsfrastructure 

Notes

Acknowledgments

This research was partially supported by grants from the U.S. Department of Energy (Grant # DE-NA0001123, PI: Dr. Liping Di), U.S. National Science Foundation (Grant # ICER-1440294, PI: Dr. Liping Di), National Natural Science Foundation of China (91438203, 41271397 and 51277167) and Hubei Science and Technology Support Program (2014BAA087). The authors appreciate Ms. Julia Di of Columbia University for proofreading and improving the manuscript.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Ziheng Sun
    • 1
  • Hui Fang
    • 2
  • Liping Di
    • 1
  • Peng Yue
    • 2
  • Xicheng Tan
    • 3
  • Yuqi Bai
    • 4
  1. 1.Center for Spatial Information Science and Systems (CSISS)George Mason UniversityFairfaxUSA
  2. 2.Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS)Wuhan UniversityWuhanChina
  3. 3.Spatial Information and Digital Technology Department, International School of SoftwareWuhan UniversityWuhanChina
  4. 4.Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System ScienceTsinghua UniversityBeijingChina

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