A higher-order tensor voting-based approach for road junction detection and delineation from airborne LiDAR data
- 1 April 2019
- journal article
- research article
- Published by Elsevier BV in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 150, 91-114
- https://doi.org/10.1016/j.isprsjprs.2019.02.003
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (41701524, 41771481, 41671451)
- China Postdoctoral Science Foundation (2017M621530)
- Central Universities of China (22120180065)
This publication has 63 references indexed in Scilit:
- Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trendsRemote Sensing of Environment, 2012
- Combining Multiple Algorithms for Road Network Tracking from Multiple Source Remotely Sensed Imagery: a Practical System and Performance EvaluationSensors, 2009
- Road junction extraction from high‐resolution aerial imageryThe Photogrammetric Record, 2008
- Self-organized natural roads for predicting traffic flow: a sensitivity studyJournal of Statistical Mechanics: Theory and Experiment, 2008
- Detection of blood vessels in the retina with multiscale Gabor filtersJournal of Electronic Imaging, 2008
- Improving Urban Road Extraction in High-Resolution Images Exploiting Directional Filtering, Perceptual Grouping, and Simple Topological ConceptsIEEE Geoscience and Remote Sensing Letters, 2006
- Optimized traffic flow at a single intersection: traffic responsive signalizationJournal of Physics A: General Physics, 2004
- State of the art on automatic road extraction for GIS update: a novel classificationPattern Recognition Letters, 2003
- Curvature-augmented tensor voting for shape inference from noisy 3D dataIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Efficient Gabor filter design for texture segmentationPattern Recognition, 1996