relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3130/
title: Comparison of resampling methods on different remote sensing images for Vietnam's urban classification
creator: Pham, Tuan Dung
creator: Man, Duc Chuc
creator: Nguyen, Thi Nhat Thanh
creator: Bui, Quang Hung
creator: Doan, Minh Chung
subject: Information Technology (IT)
description: 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.
date: 2018
type: Article
type: PeerReviewed
identifier:   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)