Automated roadway feature extraction from high-resolution satellite images

Hassan A. Karimi, Xiaolong Dai, Aemal J. Khattak, Joseph E. Hummer

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

In this paper, the requirements and algorithms for automated extraction of roadway inventory features from remotely sensed imagery are discussed. The roadway features under consideration include not only the roadway network itself but also other features, such as cover-type features (e.g., material types and land use) and measurement-type features (e.g., road width and road curvature) used in practice. The procedures, techniques, and tools used and developed in the experiments for extracting roadway features are discussed. Experimental results using one-meter-resolution satellite imagery are presented. These results show that the high-resolution remotely sensed imagery holds promising potentials for roadway inventory data collection.

Original languageEnglish (US)
Pages2065-2067
Number of pages3
StatePublished - 1998
EventProceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) - Seattle, WA, USA
Duration: Jul 6 1998Jul 10 1998

Other

OtherProceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5)
CitySeattle, WA, USA
Period7/6/987/10/98

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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