AN ENHANCED SYSTEM FOR PATTERN RECOGNITION AND SUMMARISATION OF MULTI-BAND SATELLITE IMAGES

Hema Nair

Abstract

This paper presents an enhanced system developed in Java® for pattern recognition and pattern summarisation in multi-band (RGB) satellite images. Patterns such as island, land, water body, river, fire, urban settlement in such images are extracted and summarised in linguistic terms using fuzzy sets. Some elements of supervised classification are utilised in the system to assist in the development of linguistic summaries. Results of testing the system to analyse and summarise patterns in SPOT MS images and LANDSAT images are also discussed.

References

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Paper Citation


in Harvard Style

Nair H. (2008). AN ENHANCED SYSTEM FOR PATTERN RECOGNITION AND SUMMARISATION OF MULTI-BAND SATELLITE IMAGES . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 5-10. DOI: 10.5220/0001670000050010


in Bibtex Style

@conference{iceis08,
author={Hema Nair},
title={AN ENHANCED SYSTEM FOR PATTERN RECOGNITION AND SUMMARISATION OF MULTI-BAND SATELLITE IMAGES},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={5-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001670000050010},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - AN ENHANCED SYSTEM FOR PATTERN RECOGNITION AND SUMMARISATION OF MULTI-BAND SATELLITE IMAGES
SN - 978-989-8111-37-1
AU - Nair H.
PY - 2008
SP - 5
EP - 10
DO - 10.5220/0001670000050010