Three-Dimensional Semiautomatic Road Extraction From a High-Resolution Aerial Image by Dynamic-Programming Optimization in the Object Space

Autor(es)

Dal Poz, Aluir P. ^[1] ; Gallis, Rodrigo A. B. ^[1] ; da Silva, Joao F. C. ^[1]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ, Dept Cartog, BR-19060900 Presidente Prudente, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE Geoscience and Remote Sensing Letters; v. 7, n. 4, p. 796-800, OCT 2010.
• Citações Web of Science: 12

Resumo

This letter proposes a method for 3-D semiautomatic road extraction from a single image by dynamic programming (DP), which requires a form of relief representation such as digital terrain model. Unlike traditional DP methodologies, this method relies on the DP algorithm to carry out the optimization process in the object space rather than in the image space. Road features are traced in the object space, implying the need for a rigorous mathematical model between image-and object-space points. The operator must measure a few seed points in the image space to coarsely describe the roads, which are then transformed into object space to initialize the DP optimization process. The results showed that the method usually works properly, even in the presence of anomalies along roads. (AU)

• Processo FAPESP: 01/01168-5 - Extracao automatica da malha viaria rural a partir de imagens de media e alta resolucoes.
• Beneficiário: Aluir Porfírio Dal Poz
• Modalidade de apoio: Auxílio à Pesquisa - Regular