Extraction of urban network from high spatial resolution imagery

Extraction of urban network from high spatial resolution imagery

[SPI:SIGNAL] Engineering Sciences/Signal and Image processing

[SDU:OCEAN] Sciences of the Universe/Ocean, Atmosphere

[SDU:STU] Sciences of the Universe/Earth Sciences

[SHS:GEO] Humanities and Social Sciences/Geography

[INFO:INFO_TS] Computer Science/Signal and Image Processing

This paper presents a new strategy to extract, fully or semi-automatically, quadrangular urban network from high spatial resolution imagery. A quadrangular network is generally composed of different classes of streets in a hierarchical system. The developed strategy is based both on the multiresolution analysis and on the wavelet transform. The multiresolution analysis allows a multiscale analysis of images and thus to focus on the streets of one class at once. The wavelet transform enables the modelling of information at different characteristic scales. In the problem, it allows to model the topology of streets. These two mathematical tools are combined in the "a trous" algorithm; The application of this algorithm to images of urban areas is used to develop fully or semi-automatic multiresolution processing in order to extract a hierarchical urban network from high spatial resolution imagery. These methods will bring a help to the photo-interpreter in his work.

Couloigner, Isabelle

Ranchin, Thierry

Wald, Lucien

Proceedings, 17th EARSeL Symposium “ Future Trends in Remote Sensing ”

17th EARSeL Symposium “ Future Trends in Remote Sensing ”

1998

ENG

conference proceeding

http://hal-ensmp.archives-ouvertes.fr/hal-00465933

http://hal-ensmp.archives-ouvertes.fr/docs/00/46/59/33/PDF/hal-00465933.editeur.pdf

Lyngby

Denmark