Name
Title | ||
|---|---|---|
An approach for hyperspectral image classification by optimizing SVM using self organizing map. |
Abstract | ||
|---|---|---|
•This paper gives an efficient technique for the classification of Hyper-Spectral images, based on the concept of optimizing Support Vector Machine(SVM) using Self Organizing Maps(SOM).•Objective of this research is to improve the recognition of pixels with a degree of uncertainty and improve the classification results.•We also calculate the posterior probability of each pixel and compare with the threshold value. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jocs.2017.07.016 | Journal of Computational Science |
Keywords | Field | DocType |
Self organizing Map(SOM),Support vector Machine(SVM),Classification,Hyper-spectral image | Hyperspectral image classification,Data mining,Confusion matrix,Computer science,Support vector machine,Self-organizing map,Posterior probability,Pixel | Journal |
Volume | ISSN | Citations |
25 | 1877-7503 | 1 |
PageRank | References | Authors |
0.36 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Deepak Kumar Jain | 1 | 32 | 4.99 |
| Surendra Bilouhan Dubey | 2 | 1 | 0.36 |
| Rishin Kumar Choubey | 3 | 1 | 0.36 |
| Amit Sinhal | 4 | 3 | 1.75 |
| Siddharth Kumar Arjaria | 5 | 1 | 0.36 |
| Amar Jain | 6 | 1 | 0.36 |
| Haoxiang Wang | 7 | 276 | 15.25 |