DYNAMIC TIME WARPING FOR CROPS MAPPING

14 citations as recorded by crossref.

1. A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery Z. Huang et al. 10.1016/j.isprsjprs.2023.09.009
2. Time-weighted dynamic time warping analysis for mapping interannual cropping practices changes in large-scale agro-industrial farms in Brazilian Cerrado M. Chaves et al. 10.1016/j.srs.2021.100021
3. Attention to Both Global and Local Features: A Novel Temporal Encoder for Satellite Image Time Series Classification W. Zhang et al. 10.3390/rs15030618
4. Towards sustainable agriculture in Iran using a machine learning-driven crop mapping framework I. Khosravi 10.1080/22797254.2025.2490787
5. Crop Intensity Mapping Using Dynamic Time Warping and Machine Learning from Multi-Temporal PlanetScope Data R. Rafif et al. 10.3390/land10121384
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7. Temporal similarity of the mechanization level and crop yield in Eritrea T. Medhn et al. 10.17816/0321-4443-637129
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9. Satellite Image Time Series Clustering via Time Adaptive Optimal Transport Z. Zhang et al. 10.3390/rs13193993
10. The Application of Compact Polarization Decomposition in the Construction of a Dual-Polarization Radar Index and the Effect Evaluation of Rape Extraction B. Liang et al. 10.1109/JSTARS.2023.3283011
11. The morphing for continuous generalization of linear features based on Dynamic Time Warping distance J. Li & K. Mao 10.1080/10106049.2023.2197516
12. Phenology-based sample generation for supervised crop type classification M. Belgiu et al. 10.1016/j.jag.2020.102264
13. Mapping tobacco planting areas in smallholder farmlands using Phenological-Spatial-Temporal LSTM from time-series Sentinel-1 SAR images M. Li et al. 10.1016/j.jag.2024.103826
14. Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping S. Bothwell et al. 10.1111/biom.13773