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| Extraction of Satellite Image using Particle Swarm Optimization
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Full
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Source |
International Journal of Engineering (IJE) |
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Table of Contents |
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Complete Issue PDF(3.63MB) |
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Volume: 4 Issue: 1 |
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Pages: 1-104 |
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Publication
Date: March 2010 |
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ISSN
(Online): 1985-2312 |
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Pages |
86 - 92 |
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Author(s) |
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Published
Date |
08-04-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Objects extraction, Google Earth image, Unsupervised Learning PSO algorithm |
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| Of all tasks in photogrammetry the extraction of cartographic features is the most time consuming. Fully automatic acquisition of features like roads and buildings, however, appears to be very difficult. The extraction of cartographic features form digital satellite imagery requires interpretation of this imagery. The knowledge one needs about the topographic objects and their appearances in satellite images in order to recognize these objects and extract the relevant object outlines is difficult to model and to implement in computer algorithms. This paper introduces Particle Swarm Optimization based method of object extraction from Google Earth image (satellite image). This paper deals with the land cover mapping by using swarm computing techniques. The motivation of this paper is to explore the improved swarm computing algorithms for the satellite image object extraction. |
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Campbell, J.B. (1987) Introduction to Remote Sensing. The Guilford Press, New York.
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Tso Brandt and Mather Paul, Classification Methods for Remotely Sensed Data, Taylor and Francis, London & New York.
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T.M. Lillesand and R.W. kiefer “Remote Sensing & Image Interpretation”, 3rd edition, 1994.
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Swarm intelligence - James Kennedy
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GoogleEarth
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Er. Aashima,Er.Harish Kundra, Er.Monika Verma “Filter for Removal of Impulse Noise By Using Fuzzy”, International Journal of Image Processing (IJIP),Vol 3 Issue 5, Pages:184-25
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H. Kundra and H. Singh, “PBBO: A NEW HYBRID ALGORITHM FOR SATELLITE IMAGE CLASSIFICATION”, International Journal of Computer Science and Communication, 3(1), pp. 73-76, June 2012.
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K. Aarthikha, J. Gowtham and M. S. Sangari, “A Comparative Study on Object Segregation in Satellite Images using PSO and K-Means.” International Journal of Computer Applications, 34(8), pp. 9-13, Nov 2011.
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| Harish Kundra : Colleagues
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| V.K.Panchal : Colleagues
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| Sagar Arora : Colleagues
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| Karandeep Singh : Colleagues
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| Himashu Kaura : Colleagues
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| Jaspreet Singh Phool : Colleagues
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