Hyperspectral image segmentation based on enhanced estimation of centroid with fast K-means
Joint Authors
Veligandan, Saravana Kumar
Rengasari, Naganathan
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 5 (30 Sep. 2018), pp.904-911, 8 p.
Publisher
Publication Date
2018-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, the segmentation process is observant on hyperspectral satellite images.
A novel approach, hyperspectral image segmentation based on enhanced estimation of centroid with unsupervised clusters such as fast k-means, fast k-means (weight), and fast k-means (careful seeding) has been addressed.
Besides, a cohesive image segmentation approach based on inter-band clustering and intra-band clustering is processed.
Moreover, the inter band clustering is accomplished by above clustering algorithms, while the intra band clustering is effectuated using Particle Swarm Clustering algorithm (PSC) with Enhanced Estimation of Centroid (EEOC).
The hyperspectral bands are clustered and a single band which has a paramount variance from each cluster is opting for.
This constructs the diminished set of bands.
Finally, PSC EEOC carried out the segmentation process on the diminished bands.
In addition, we compare the result produce in these methods by statistical analysis based on number of pixel, fitness value, and elapsed time.
American Psychological Association (APA)
Veligandan, Saravana Kumar& Rengasari, Naganathan. 2018. Hyperspectral image segmentation based on enhanced estimation of centroid with fast K-means. The International Arab Journal of Information Technology،Vol. 15, no. 5, pp.904-911.
https://search.emarefa.net/detail/BIM-839124
Modern Language Association (MLA)
Veligandan, Saravana Kumar& Rengasari, Naganathan. Hyperspectral image segmentation based on enhanced estimation of centroid with fast K-means. The International Arab Journal of Information Technology Vol. 15, no. 5 (Sep. 2018), pp.904-911.
https://search.emarefa.net/detail/BIM-839124
American Medical Association (AMA)
Veligandan, Saravana Kumar& Rengasari, Naganathan. Hyperspectral image segmentation based on enhanced estimation of centroid with fast K-means. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 5, pp.904-911.
https://search.emarefa.net/detail/BIM-839124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 910-911
Record ID
BIM-839124