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Deformation pattern recognition in the Baihetan reservoir area using transfer learning-temporal convolutional networks and multi-temporal InSAR
- “Monitoring the stability of the bank slope in the Baihetan hydropower station reservoir area is crucial. A time series deformation pattern intelligent recognition model was constructed by integrating transfer learning and time convolutional network (TCN). The research team established a six dimensional deformation classification system, which verified the effectiveness of transfer learning in reducing the cost of time series annotation and provided a new paradigm for dynamic assessment of disaster risks in the reservoir area.”
- Vol. 30, Issue 4, Pages: 1130-1149(2026)
DOI:10.11834/jrs.20265325
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