NDLI: Study on the behaviour of BBO over natural terrain features

Content Provider	IEEE Xplore Digital Library
Author	Panchal, V.K. Bhugra, D. Goel, S. Singhania, V.
Copyright Year	2011
Description	Author affiliation: Computer Science Deptt. Delhi University, New Delhi, India (Bhugra, D.) \|\| DTRL, DRDO Metcalfe house, Delhi, India (Panchal, V.K.) \|\| Information Technology, Seth Jai Parkash Mukand Lai Institute of Engg & Tech (Kurukshetra University), Raduar, Haryana, India (Goel, S.; Singhania, V.)
Abstract	In recent years the remote sensing image classification has become a global research area for acquiring the geo-spatial information from satellite data. In this paper we have tried to explore the behavior of Biogeography-Based Optimization (BBO) over different terrain features of a satellite image. The findings of recent studies are showing strong evidence to the fact that various classifiers perform differently when applied to images having different natural terrain features. BBO has a way of sharing information between solutions depending on the migration mechanisms of ecosystem. The motivation of this paper is to use this feature of BBO for finding more accurate results. The approach followed involves making the clusters of different land cover features. The results indicate that highly accurate Homogeneous land-cover features are extracted when BBO is used, instead of other conventional classifiers.
Starting Page	28
Ending Page	32
File Size	848093
Page Count	5
File Format	PDF
ISBN	9781424486786
e-ISBN	9781424486793
DOI	10.1109/ICECTECH.2011.5941850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Vegetation mapping Biogeography Feature extraction terrain Remote sensing Optimization BBO Image classification Fuzzy c-means
Content Type	Text
Resource Type	Article

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