BUILDING GENERALIZATION USING DEEP LEARNING

13 citations as recorded by crossref.

1. A point selection method in map generalization using graph convolutional network model T. Xiao et al. 10.1080/15230406.2023.2187886
2. Learning Cartographic Building Generalization with Deep Convolutional Neural Networks Y. Feng et al. 10.3390/ijgi8060258
3. A new model combining building block displacement and building block area reduction for resolving spatial conflicts P. Pilehforooshha et al. 10.1111/tgis.12731
4. Polyline simplification based on the artificial neural network with constraints of generalization knowledge J. Du et al. 10.1080/15230406.2021.2013944
5. Raster-based method for building selection in the multi-scale representation of two-dimensional maps Y. Shen et al. 10.1080/10106049.2021.1943007
6. Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network W. Yu & Y. Chen 10.1111/tgis.12965
7. Deep Learning for Enrichment of Vector Spatial Databases G. Touya & I. Lokhat 10.1145/3382080
8. Is deep learning the new agent for map generalization? G. Touya et al. 10.1080/23729333.2019.1613071
9. A Progressive Simplification Method for Buildings Based on Structural Subdivision R. Zhai et al. 10.3390/ijgi11070393
10. Detection of Collapsed Bridges from Multi-Temporal SAR Intensity Images by Machine Learning Techniques W. Liu et al. 10.3390/rs13173508
11. Turistik amaçlı mekânsal sanal ortamların oluşturulması: Tarihi Yarımada Örneği S. BUHUR et al. 10.29128/geomatik.1133484
12. Segmentation and sampling method for complex polyline generalization based on a generative adversarial network J. Du et al. 10.1080/10106049.2021.1878288
13. Multi-Criteria Geographic Analysis for Automated Cartographic Generalization G. Touya 10.1080/00087041.2020.1858608