19 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 19 cited
Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection
Zhuo Zheng, Yanfei Zhong, Ailong Ma +1
Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR)…
cs.CV2023★ 1 cited
Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process
Zhuo Zheng, Shiqi Tian, Ailong Ma +2
Understanding the temporal dynamics of Earth's surface is a mission of multi-temporal remote sensing image analysis, significantly promoted by deep vision models with its fuel -- l…