EVALUATION OF AUTOMATIC ROAD EXTRACTION
By Christian Heipke, Helmut Mayer, C. Wiedemann, O. Jamet. 2007
324 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9b1b9dad2a5f77cf6d203967a21ffe9ad69601b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Franz Rottensteiner
- Zuoyue Li
- M. Rutzinger
- Aurélien Lucchi
- Shiming Xiang
- Hongzhen Wang
- Jan Dirk Wegner
- Chunhong Pan
Citations in the corpus
- Topological Map Extraction From Overhead Images (2018, background): “Building segmentation from overhead data has been a core research interest for decades and discussing all works is beyond the scope of this paper [19, 34, 20].”
- A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning (2009, background): “The Quality of the results provides a compound performance metric that balances completeness and correctness [16]”
- Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network (2017, methodology): “To assess the quantitative performance in both road detection and road centerline extraction, three benchmark metrics [53] are introduced, i.e., Completeness (COM), Cor-rectness (COR), and Quality ( Q ).”