Online image classification and analysis using OGC web processing service

The online geoprocessing and analysis using state-of-the-art technology are offering automated analytical tools to a large group of users. This paper describes an online geoprocessing and analysis framework, which allows an inexperienced user to perform unsupervised classification of remote sensing...

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Bibliographic Details
Published inEarth science informatics Vol. 12; no. 3; pp. 307 - 317
Main Authors Singh, Hariom, Garg, R. D., Karnatak, Harish C.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2019
Springer Nature B.V
Subjects
Accuracy
Algorithms
Classification
Data collection
Earth and Environmental Science
Earth Sciences
Earth System Sciences
Freeware
Geographic information systems
Image classification
Information Systems Applications (incl.Internet)
Landsat
Landsat satellites
Ontology
Open source software
Remote sensing
Research Article
Satellite navigation systems
Simulation and Modeling
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
State of the art
Technology assessment
Web processing service
Participatory GIS
Parallel computing
Unsupervised classification
Distributed GIS
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Summary:The online geoprocessing and analysis using state-of-the-art technology are offering automated analytical tools to a large group of users. This paper describes an online geoprocessing and analysis framework, which allows an inexperienced user to perform unsupervised classification of remote sensing data. The parallel computing based geoprocessing and analysis framework adopted in this work has been implemented using Free and Open Source Software for Geospatial (FOSS4G). Web Processing Service (WPS) based geoprocessing framework facilitates the deployment of unsupervised classification algorithm on the web in a standardized way. However, it is dynamic in nature to deploy other geoprocessing algorithms. The developed system describes how to process remote sensing data (Sentinel-2, Landsat-8, etc.) for classification and sharing the interoperable results in a distributed environment. To validate the classification results, a prototype architecture based on participatory GIS is developed for field data collection, accuracy assessment and online dissemination. The accuracy assessment (i.e., overall accuracy, Kappa coefficient) is performed to validate the derived classification results using collected field data.
ISSN:1865-0473
1865-0481
DOI:10.1007/s12145-019-00378-z