Remote Sensing Road Extraction by Road Segmentation Network

Road network extraction in remote sensing by a Markov object process

In this paper, we rely on the theory of marked point processes to perform an unsupervised road network extraction from optical and radar images. A road network is modeled by a Markov object process, where the objects correspond to interacting line segments. The prior model, called "Quality Candy" model, is constructed so as to exploit as far as possible the geometric constraints of this type of...

Application Of High-Resolution Remote Sensing Images In Road Extraction

Automatic Road Extraction from Remote Sensing Imagery Incorporating Prior Information and Colour Segmentation

In this paper an approach to road extraction in open landscape regions from IKONOS multispectral imagery is presented which combines a line-based approach for road extraction with area-based colour segmentation. Existing road databases are used in two ways: firstly, to estimate scene dependent parameters of the line-based approach and secondly to exclude non road regions from the extraction, al...

Automatic Road Network Extraction by Hierarchical Grouping

This paper presents an automatic method for road network extraction from low-resolution images using hierarchical grouping. The method consists of three major steps: firstly it extracts lines from original images and generates smooth lines in a split-and-merge operation; a hierarchy of line images is generated using different thresholds for line length, based on the extracted line images; the l...

Road Network Extraction by Hierarchical Grouping

This paper presents an automatic method for road network extraction from low-resolution images using hierarchical grouping technique. The method consists of three major steps: firstly it extracts line features from original images and generates smooth lines in a split-and-merge operation; a hierarchy of line images is created using different thresholds for line length, based on the generated li...