De Araújo Gallis, Rodrigo Bezerra [UNESP]Dal Poz, Aluir Porfírio [UNESP]Barbosa, Ricardo Luis [UNESP]Da Silva, João Fernando Custódio [UNESP]2014-05-272014-05-272006-01-01Boletim de Ciencias Geodesicas, v. 12, n. 1, p. 19-35, 2006.1413-4853http://hdl.handle.net/11449/68741The purpose of this paper is to introduce a methodology for semi-automatic road extraction from aerial digital image pairs by using dynamic programming and epipolar geometry. The method uses both images from where each road feature pair is extracted. The operator identifies the corresponding road featuresand s/he selects sparse seed points along them. After all road pairs have been extracted, epipolar geometry is applied to determine the automatic point-to-point correspondence between each correspondent feature. Finally, each correspondent road pair is georeferenced by photogrammetric intersection. Experiments were made with rural aerial images. The results led to the conclusion that the methodology is robust and efficient, even in the presence of shadows of trees and buildings or other irregularities.19-35porDynamic programmingEpipolar geometryRoadsSemi-automatic road extractionaerial photographydigital imagedigital photogrammetrypattern recognitionroadArtigoAcesso aberto2-s2.0-337462538922-s2.0-33746253892.pdf6332973406361489