TY  - INPR
ID  - SisLab3130
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3130/
A1  - Pham, Tuan Dung
A1  - Man, Duc Chuc
A1  - Nguyen, Thi Nhat Thanh
A1  - Bui, Quang Hung
A1  - Doan, Minh Chung
Y1  - 2018///
N2  - 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.
JF  - Journal of Research, Development, and Application on Information and Communication Theory
SN  - 1859-3534
TI  - Comparison of resampling methods on different remote sensing images for Vietnam's urban classification
AV  - none
ER  -