The week's pick
Random Articles
Reseach Article
K-Means Clustering Algorithm with Color-based Thresholding for Satellite Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 105 - Number 11 |
| Year of Publication: 2014 |
| Authors: Gurudatta V Nayak, Anuja A Rao, Nandana Prabhu |
10.5120/18421-9723
|
Gurudatta V Nayak, Anuja A Rao, Nandana Prabhu . K-Means Clustering Algorithm with Color-based Thresholding for Satellite Images. International Journal of Computer Applications. 105, 11 ( November 2014), 17-20. DOI=10.5120/18421-9723
Abstract
Land cover classification is an essential input to environmental and land use planning . Clustering is a technique used for land cover classification. Clustering is the assignment of objects into groups called clusters so that objects from the same cluster are more similar to each other than objects from different clusters. The proposed work presents an algorithm Using K means clustering algorithm with color based thresholding for classification of a satellite image. It is observed that this method gives better accuracy as compared using only K means clustering algorithm. The image quality metrics used are overall accuracy, user's accuracy, producer accuracy, average accuracy for user and producer.
References
- Quanfang Wang, Haiwen Zhang, Hangzhou Sun, "New Logic for Large-scale Land Cover Classification Based on Remote Sensing", Geoinformatics17th international conference,2009,ISBN 978-1-4244-4562-2,Pg 1-5
- Anil Z Chitadeand Dr. S K. Katiyar,"Color based image segmentation using K-Means Clustering", Department of civil Engineering, International Journal of Engineering Science and Technology, Vol. 2(10), 2010, 5319-5325
- A. M. Chandra and S. K . Ghosh "Remote Sensing and Geographical Information systems", Narosa publishing House, New Delhi ,2007
- Quanhua Zhao, Weidong Song, Guohua Sun, " The Recognition of Land Cover with Remote Sensing Image Based on Improved BP Neutral Network",Intyernational Conference on Mutimedia technology,2010,ISBN 978-1-4244-787-2
- Basudeb Bhatta " Remote Sensing and GIS " Oxford University Press,2008
- Gonzales R and Woods R. "Digital /image Processing"Prentice hall, 2nd Edition
- Ashok Kumar Nagawat, Manoj Gupta, Papendra Kumar and Suresh Kumar," Performance Comparison of Median and Wiener Filter in Image De-noising", International Journal of Computer Applications ,12(2010) 0975-8887.
- Gong xuejing, ci linlin,yao kangze, 'Two parallel strategies of split-merge algorithm for image segmentation', International Conference on Wavelet Analysis and Pattern Recognition, Beijing, China, 2-4 Nov. 2007
- R. Weih, Jr. 1 and D. White, Jr," Land-Use/Land-Cover Characterization Using an Object-Based Classifier for theBuffalo River Sub-Basin in North-Central Arkansas", Journal of the Arkansas Academy of Science, Vol. 62, 2008
- Lillesand and Kieffer, Remote Sensing, Wiley Edition 2000
Index Terms
Keywords