Abstract
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 language | English |
|---|---|
| Title of host publication | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Subtitle of host publication | XXIV ISPRS Congress |
| Editors | N. 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 |
| Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |
| Pages | 947-951 |
| Number of pages | 5 |
| Volume | XLIII-B3-2020 |
| DOIs | |
| Publication status | Published - 21 Aug 2020 |
| Event | XXIVth ISPRS Congress 2020 - Virtual Event, Nice, France Duration: 4 Jul 2020 → 10 Jul 2020 Conference number: 24 http://www.isprs2020-nice.com |
Publication series
| Name | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Publisher | Copernicus |
| ISSN (Print) | 2194-9034 |
Conference
| Conference | XXIVth ISPRS Congress 2020 |
|---|---|
| Abbreviated title | ISPRS 2020 |
| Country/Territory | France |
| City | Nice |
| Period | 4/07/20 → 10/07/20 |
| Internet address |