Road Extraction Using Gradient Density Analysis
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Resource Overview
This paper discusses road extraction techniques with a focus on gradient density-based approaches, implementation methodologies, and performance evaluation using digital terrain models.
Detailed Documentation
This paper examines road extraction techniques, specifically concentrating on gradient density-based methodologies. The approach involves analyzing terrain gradient characteristics to infer road presence and connectivity patterns. The methodology demonstrates compatibility with high-resolution Digital Terrain Models (DTMs), achieving enhanced accuracy and computational efficiency through optimized density thresholding algorithms. Implementation typically involves calculating gradient magnitude using Sobel or Prewitt operators, followed by density clustering techniques like DBSCAN to identify linear features. The study provides detailed explanations of the algorithmic workflow and presents comprehensive analysis of experimental results using real-world datasets, including performance metrics comparing traditional versus gradient-density approaches.
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