Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

N. A.

doi:10.34028/iajit

Article Details

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 5, pp.120-127

Document Type:

Article

Publication Date:

1/2018

Document Language:

English

Document ID (Org No.):

2001389179

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 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.

Article Details

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 5, pp.120-127

Document Type:

Article

Publication Date:

1/2018

Document Language:

English

Document ID (Org No.):

2001389179

pISSN:

2309-4524

DOI:

10.34028/iajit

Fast k-means

fast k-mean (weight)

fast k- means (careful seeding)

and particle swarm clustering algorithm

Issues

Article Details

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

Authors: N. A.

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 5, pp.120-127

Document Type: Article

Publication Date: 1/2018

Document Language: English

Document ID (Org No.): 2001389179

pISSN: 2309-4524

DOI: 10.34028/iajit

Fast k-means

fast k-mean (weight)

fast k- means (careful seeding)

and particle swarm clustering algorithm

Issues

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.15 Issue 5, pp.120-127

Document Type:

Article

Publication Date:

1/2018

Document Language:

English

Document ID (Org No.):

2001389179

pISSN:

2309-4524

DOI:

10.34028/iajit