Pham, Tuan Dung and Man, Duc Chuc and Nguyen, Thi Nhat Thanh and Bui, Quang Hung and Doan, Minh Chung (2018) Comparison of resampling methods on different remote sensing images for Vietnam's urban classification. Journal of Research, Development, and Application on Information and Communication Theory . ISSN 1859-3534 (In Press)
Full text not available from this repository.Abstract
Remotely-sensed data for urban classification is very diverse in data type, acquisition time and spatial resolution. Therefore, preprocessing is needed for input data, in which the spatial resolution must be changed by different resampling methods. However, during resampling progress, data transformations have many effects on classification results. In this research, resampling methods are evaluated; as a result, mean aggregation and bicubic interpolation methods had better results for a variety of data types. Besides, the highest overall accuracy and F1 score for urban classification maps are 98.47% and 0.9842, respectively.
| Item Type: | Article |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO) Faculty of Information Technology (FIT) |
| Depositing User: | Dr Thi Nhat Thanh Nguyen |
| Date Deposited: | 29 Oct 2018 04:27 |
| Last Modified: | 29 Oct 2018 04:27 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3130 |
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