A BBO based framework for natural terrain identification in remote sensing

被引：0
|
作者：
Arpita Sharma
Samiksha Goel
机构：
[1] Delhi University,Department of Computer Science, D.D.U. College
[2] Delhi University,Department of Computer Science
来源：
Memetic Computing | 2015年 / 7卷
关键词：
Nature inspired intelligence; Terrain analysis; BBO; Swarm intelligence; Approximate reasoning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Nature inspired intelligence is increasingly being used to solve complex problems. Identifying different types of terrains present in the satellite imagery of a given region is one such problem in the field of remote sensing. Prospects of its numerous applications in real life have been a motivating factor for scientists to develop newer terrain analyzers to perform this task with more precision. This paper presents a two phase biogeography based optimization (BBO) based generic frame work for identifying natural terrain features in a given region. BBO is a population-based algorithm and is based on the theory of island biogeography that explains the geographical distribution of biological organisms. Validation is performed on two remote sensing datasets for Alwar and Delhi regions in India. Better performance of proposed analyzers has been observed as compared to state of the art techniques.
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页码：43 / 58
页数：15
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