Title
Developing a web-based system for supervised classification of remote sensing images.
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.
Year
DOI
Venue
2016
10.1007/s10707-016-0252-3
GeoInformatica
Keywords
Field
DocType
Supervised classification,Geoprocessing web service,Web-based processing system,Remote sensing image,Cyberinsfrastructure
Web system,Data mining,System framework,Web mapping,Computer science,Remote sensing,Data Web,Web modeling,Web application,Contextual image classification
Journal
Volume
Issue
ISSN
20
4
1384-6175
Citations 
PageRank 
References 
0
0.34
9
Authors
6
Name
Order
Citations
PageRank
Ziheng Sun18215.31
Hui Fang2234.02
Liping Di381198.92
Peng Yue437434.25
Xicheng Tan5143.78
Yuqi Bai610614.75