AUTOMATIC CENTERLINE EXTRACTION OF COVERD ROADS BY SURROUNDING OBJECTS FROM HIGH RESOLUTION SATELLITE IMAGES

9 citations as recorded by crossref.

1. Extraction of road features from UAV images using a novel level set segmentation approach A. Abdollahi et al. 10.1080/12265934.2019.1596040
2. Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature K. Yu et al. 10.1109/JSTARS.2021.3073573
3. Effects of extreme floods on fluvial changes: the Khorramabad River as case study (western Iran) S. Sharafi et al. 10.1007/s12517-021-07459-8
4. Multi-Scale and Multi-Task Deep Learning Framework for Automatic Road Extraction X. Lu et al. 10.1109/TGRS.2019.2926397
5. Improving Road Semantic Segmentation Using Generative Adversarial Network A. Abdollahi et al. 10.1109/ACCESS.2021.3075951
6. Road surface and inventory extraction from mobile LiDAR point cloud using iterative piecewise linear model M. Zeybek & S. Biçici 10.1088/1361-6501/acb78d
7. An approach for the automated extraction of road surface distress from a UAV-derived point cloud S. Biçici & M. Zeybek 10.1016/j.autcon.2020.103475
8. Effectiveness of Training Sample and Features for Random Forest on Road Extraction from Unmanned Aerial Vehicle-Based Point Cloud S. Biçici & M. Zeybek 10.1177/03611981211029645
9. Automatic Matching of Multimodal Remote Sensing Images via Learned Unstructured Road Feature K. Yu et al. 10.3390/rs14184595