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

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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.

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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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Authors and Affiliations

  1. Center for Spatial Information Science and Systems (CSISS), George Mason University, 4400 University Drive, MSN 6E1, Fairfax, VA, 22030, USA

    Ziheng Sun & Liping Di

  2. Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, Hubei, China

    Hui Fang & Peng Yue

  3. Spatial Information and Digital Technology Department, International School of Software, Wuhan University, Wuhan, Hubei, China

    Xicheng Tan

  4. Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, 100084, China

    Yuqi Bai

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  1. Ziheng Sun
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  2. Hui Fang
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  3. Liping Di
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Correspondence to Liping Di.

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Sun, Z., Fang, H., Di, L. et al. Developing a web-based system for supervised classification of remote sensing images. Geoinformatica 20, 629–649 (2016). https://doi.org/10.1007/s10707-016-0252-3

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  • DOI: https://doi.org/10.1007/s10707-016-0252-3

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