@inproceedings{a0e3b870d3b0420fb2696196a5e2a9b3,
title = "Directional mathematical morphology for the detection of the road network in very high resolution remote sensing images",
abstract = "This paper presents a new method for extracting roads in Very High Resolution remotely sensed images based on advanced directional morphological operators. The proposed approach introduces the use of Path Openings and Closings in order to extract structural pixel information. These morphological operators remain flexible enough to fit rectilinear and slightly curved structures since they do not depend on the choice of a structural element shape and hence outperform standard approaches using rotating rectangular structuring elements. The method consists in building a granulometry chain using Path Openings and Closing to perform Morphological Profiles. For each pixel, the Morphological Profile constitutes the feature vector on which our road extraction is based.",
keywords = "Mathematical morphology, Morphological profiles, Path openings and closings, Road extraction",
author = "Silvia Valero and Jocelyn Chanussot and Benediktsson, \{Jon Atli\} and Hugues Talbot and Bjorn Waske",
year = "2009",
doi = "10.1109/ICIP.2009.5414344",
language = "English",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "3725--3728",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "United States",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}