Dynamic Time Warping for crops mapping

M. Belgiu*, Y. Zhou, M. Marshall, A. Stein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
223 Downloads (Pure)


Dynamic Time Warping (DTW) has been successfully used for crops mapping due to its capability to achieve good classification results when a reduced number of training samples and irregular satellite image time series is available. Despite its recognized advantages, DTW does not account for the duration and seasonality of crops and local differences when assessing the similarity between two temporal sequences. In this study, we implemented a Weighted Derivative modification of DTW (WDDTW) and compared it with DTW and Time Weighted Dynamic Time Warping (TWDTW) for crops mapping. We show that WDDTW outperformed DTW achieving an overall accuracy of 67 %, whereas DTW obtained an accuracy of 57%. Yet, TWDTW performed better than both methods obtaining an accuracy of 88%.
Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publicationXXIV ISPRS Congress
EditorsN. Paparoditis, C. Mallet, F. Lafarge, J. Jiang, A. Shaker, H. Zhang, X. Liang, B. Osmanoglu, U. Soergel, E. Honkavaara, M. Scaioni, J. Zhang, A. Peled, L. Wu, R. Li, M. Yoshimura, K. Di, O. Altan, H.M. Abdulmuttalib, F.S. Faruque
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Number of pages5
Publication statusPublished - 21 Aug 2020
EventXXIVth ISPRS Congress 2020 - Virtual Event, Nice, France
Duration: 4 Jul 202010 Jul 2020
Conference number: 24

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN (Print)2194-9034


ConferenceXXIVth ISPRS Congress 2020
Abbreviated titleISPRS 2020
Internet address


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