UTILIZAÇÃO DE DADOS LASER E IMAGENS AÉREAS PARA A EXTRAÇÃO DE VIAS URBANAS
The automatic feature extraction from digital aerial images is not a trivial solution due to occlusion problems, shadows and different viewpoints. To improve the extraction process we used laser data, which have additional information such as height and material type of objects on the surface. I...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade do Oeste Paulista
2015-05-01
|
| Series: | Colloquium Exactarum |
| Subjects: | |
| Online Access: | http://revistas.unoeste.br/revistas/ojs/index.php/ce/article/view/1422/1455 |
| Summary: | The automatic feature extraction from digital aerial
images is not a trivial solution due to occlusion problems, shadows and
different viewpoints. To improve the extraction process we used laser
data, which have additional information such as height and material
type of objects on the surface. In this paper we performed the
combination of digital image and laser data in order to improve the
results of automatic extraction of urban roads. Urban roads were
detected from the response of laser information. Then we applied two
strategies to connect the disconnected road segments. The first one is
based on the similarity of segment angle; the second one is performed
by analysis of the wooded regions in the digital image. The results
showed a higher sensitivity rate of 92% and positive predictive value
greater than 67%. |
|---|---|
| ISSN: | 2178-8332 |