URBAN CHANGE DETECTION BASED ON SEMANTIC SEGMENTATION AND FULLY CONVOLUTIONAL LSTM NETWORKS

6 citations as recorded by crossref.

1. Spatial temporal fusion based features for enhanced remote sensing change detection G. Mugambi et al.
2. SDCDNet: A Semi-Dual Change Detection Network Framework With Super-Weak Label for Remote Sensing Image J. Wang et al.
3. Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery E. Bousias Alexakis & C. Armenakis
4. FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views R. Kanagavelu et al.
5. Semantic-TemporalNet: A Novel Urban Block Change Detection Method Based on Semantic Coherence Analysis L. Sun et al.
6. Advances in geospatial artificial intelligence for remote sensing applications E. Dritsas & M. Trigka