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Extraction of Satellite Image using Particle Swarm Optimization

Author(s): Harish Kundra, V.K.Panchal, Sagar Arora, Karandeep Singh, Himashu Kaura, Jaspreet Singh Phool

Journal: International Journal of Engineering
ISSN 1985-2312

Volume: 4;
Issue: 1;
Start page: 86;
Date: 2010;
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Keywords: Objects extraction | Google Earth image | Unsupervised Learning PSO algorithm

Of all tasks in photogrammetry the extraction of cartographic features is the most timeconsuming. Fully automatic acquisition of features like roads and buildings, however, appears tobe very difficult. The extraction of cartographic features form digital satellite imagery requiresinterpretation of this imagery. The knowledge one needs about the topographic objects and theirappearances in satellite images in order to recognize these objects and extract the relevantobject outlines is difficult to model and to implement in computer algorithms. This paperintroduces Particle Swarm Optimization based method of object extraction from Google Earthimage (satellite image). This paper deals with the land cover mapping by using swarm computingtechniques. The motivation of this paper is to explore the improved swarm computing algorithmsfor the satellite image object extraction.
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