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Indexing remote sensing image retrieval using clustering and vegetation indices |
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| รหัสดีโอไอ | |
| Creator | ภาวิดา ยะโสวงษ์ |
| Title | Indexing remote sensing image retrieval using clustering and vegetation indices |
| Contributor | ชุลีรัตน์ จรัสกุลชัย |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2556 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 4 |
| Journal No. | 2 |
| Page no. | 1-8 |
| Keyword | satellite images retrieval, indexing, K-mean, vegetation index |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | Currently, Satellite images has been increasingly and available to download. Additionally, retrieving by latitude and longitude is not sufficiently, a new retrieval method is challenged in this area. Retrieving by specified type of object in remote sensing image such as vegetation, river etc is required. To support this process, an automatic indexing to classify object is need to study. This paper presents techniques of indexing SMMS satellite images retrieval which is a type of multi- spectral images. K-mean clustering technique and vegetation indices are explored with five types of objects. Then indexing techniques are compared between using vegetation index technique and clustering combine with vegetation index technique. |
