Name
Title | ||
|---|---|---|
Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines. |
Abstract | ||
|---|---|---|
This paper presents an unsupervised hyperspectral image segmentation with a new subtractive-clustering-based similarity segmentation and a novel cluster validation method using one-class support vector (SV) machine (OC-SVM). An estimation of the correct number of clusters is an important task in hyperspectral image segmentation. The proposed cluster validity measure is based on the power of spectr... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TGRS.2011.2113186 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Hyperspectral imaging,Pixel,Image segmentation,Kernel,Training,Current measurement | k-medians clustering,k-means clustering,Computer vision,Fuzzy clustering,Scale-space segmentation,Pattern recognition,Correlation clustering,Segmentation-based object categorization,Artificial intelligence,Cluster analysis,Mathematics,Single-linkage clustering | Journal |
Volume | Issue | ISSN |
49 | 8 | 0196-2892 |
Citations | PageRank | References |
17 | 0.70 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gökhan Bilgin | 1 | 62 | 13.18 |
| S. Erturk | 2 | 548 | 51.19 |
| Tülay Yildirim | 3 | 21 | 2.47 |