@inproceedings{35cd43b6edbf4edb8918c64346838bdb,
title = "Mapping paddy rice using multi-temporal MODIS images",
abstract = "In this study, temporal MODIS data are used to classify double rice crops in Taitung, Taiwan. Empirical Mode Decomposition (EMD) is applied for data noise filtering. Three similarly assessments, including minimum squared Euclidean distance (MSED), cosine similarity, and correlation coefficient methods, are utilized in the classification of double crops. The accuracy assessment of the double crops classification was evaluated. The results indicate that EMD is able to filter out the noises of the time series data and successfully preserve the temporal and spectral patterns for rice paddies classification.",
keywords = "EMD, MODIS, Paddy rice",
author = "Chen, {Chi Farn} and Qing Chen and Chang, {Li Yu} and Chen, {Chu Yen}",
year = "2008",
language = "???core.languages.en_GB???",
isbn = "9781615676156",
series = "29th Asian Conference on Remote Sensing 2008, ACRS 2008",
pages = "51--56",
booktitle = "29th Asian Conference on Remote Sensing 2008, ACRS 2008",
note = "29th Asian Conference on Remote Sensing 2008, ACRS 2008 ; Conference date: 10-11-2008 Through 14-11-2008",
}