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Found 7 papers, 1 papers with code
A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series
Accurate estimation of building heights is essential for urban planning, infrastructure management, and environmental analysis.
Context-Aware Change Detection With Semi-Supervised Learning
Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas.
Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping
In this paper, we investigate the utilization of SAR and optical data for urban mapping.
Unsupervised Flood Detection on SAR Time Series
Our proposed CD model is evaluated on flood detection data.
Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning
Second, SSL was adopted to improve supervised change detection.
Building Change Detection using Multi-Temporal Airborne LiDAR Data
For the change detection task, we used multi-temporal airborne LiDAR data.
Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data
The experiments highlight that the combination of bi-temporal SAR data with an effective network architecture achieves more accurate flood detection than uni-temporal methods.
