Urban road network extraction from high-resolution multispectral data

2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, URBAN 2003

Volumn , Issue , 2003, Pages 142-146

  Shackelford, A K ^a   Davis, C H ^a  

^a University of Missouri   (United States)

Author keywords

High resolution multispectral satellite imagery; Object classification; Road network extraction; Urban land cover classification

Indexed keywords

DATA FUSION; EXTRACTION; FUZZY SETS; ITERATIVE METHODS; REMOTE SENSING; ROADS AND STREETS; SATELLITE IMAGERY; TRANSPORTATION;

CLASSIFICATION IMAGES; MORPHOLOGICAL SKELETON; MULTI-SPECTRAL DATA; MULTISPECTRAL SATELLITE IMAGERY; OBJECT CLASSIFICATION; OBJECT-BASED CLASSIFICATIONS; ROAD NETWORK EXTRACTION; URBAN LAND COVER CLASSIFICATION;

IMAGE CLASSIFICATION;

EID: 84944877107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DFUA.2003.1219975     Document Type: Conference Paper

References (9)

1. I. Couloigner, and T. Panchin, "Mapping of urban areas: a multiresolution modeling approach for semi-automatic extraction of streets," Photogrammetric Engineering & Remote Sensing, Vol. 65, No. 7, pp. 777-785, 1999.
2. C. Steger (1998), "An unbiased detector of curvilinear structures," IEEE Trans. Pattern Anal. Machine Intell., Vol.20, No. 2, pp. 113-125.
3. Dell'Acqua and P. Gamba (2001), "Detection of urban structures in SAR images by robust fuzzy clustering algorithms: the example of street tracking," IEEE Trans. Geosci. Remote Sensing, Vol. 39, No. 10, pp. 2287-2297.
4. W. Shi, and C. Zhu (2002), "The line segment match method for extracting road network from high-resolution satellite images," IEEE Trans. Geosci. Remote Sensing, Vol. 40, No. 2, pp. 511-514.
5. A.K. Shackelford, and C.H. Davis (2003), "A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas," IEEE Trans. Geosci. Remote Sensing, in press.
6. A.K. Shackelford, and C.H. Davis (2003), "A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas," IEEE Trans. Geosci. Remote Sensing, in press.
7. M. Baatz and A. Schape (2000), "Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation," in Angewandte Geographische Informationsverabeitung. XII. Beitrage zum AGIT-Symposium Salzburg 2000, T. Strobl, T. Blaschke, and G. Griesebner, Eds., Karlsruhe: H. Wichmann Verlay, pp. 12-23.
8. C. Heipke, H. Mayer, C. Wiedemann, and O. Jamet (1997), "Evaluation of automatic road extraction," International Archives of Photogrammetry and Remote Sensing, Vol. 32, No. 3, pp. 47-56.
9. R. C. Gonzalez, and R. E. Woods, Digital Image Processing 2 ed. Upper Saddle River, NJ: Prentice Hall, 2002.