DYNAMIC TIME WARPING FOR CROPS MAPPING

13 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.
2. Addressing sample imbalance in deep learning based multi-temporal crop classification: a study in Jhansi, India M. Antony Ravi et al.
3. Attention to Both Global and Local Features: A Novel Temporal Encoder for Satellite Image Time Series Classification W. Zhang et al.
4. Towards sustainable agriculture in Iran using a machine learning-driven crop mapping framework I. Khosravi
5. Crop Intensity Mapping Using Dynamic Time Warping and Machine Learning from Multi-Temporal PlanetScope Data R. Rafif et al.
6. Rapeseed Area Extraction Based on Time-Series Dual-Polarization Radar Vegetation Indices Y. Zhu et al.
7. Temporal similarity of the mechanization level and crop yield in Eritrea T. Medhn et al.
8. Mapping crop types in complex farming areas using SAR imagery with dynamic time warping G. Gella et al.
9. Satellite Image Time Series Clustering via Time Adaptive Optimal Transport Z. Zhang et al.
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.
11. The morphing for continuous generalization of linear features based on Dynamic Time Warping distance J. Li & K. Mao
12. Mapping tobacco planting areas in smallholder farmlands using Phenological-Spatial-Temporal LSTM from time-series Sentinel-1 SAR images M. Li et al.
13. Pattern-Based Clustering of Daily Weigh-In Trajectories Using Dynamic Time Warping S. Bothwell et al.