Three-dimensional road network by fusion of polarimetric and interferometric SAR data

Author

Gamba, P. ; Houshmand, B.

Author_Institution

Dipartimento di Elettronica, Pavia Univ., Italy

Volume

1

fYear

1999

fDate

1999

Firstpage

302

Abstract

In this paper a fuzzy classification procedure is applied to polarimetric radar measurements, and street pixels are detected. These data are successively grouped into consistent roads by means of a dynamic programming approach based on the fuzzy membership function values. Further fusion of the 2D road network extracted and 3D TOPSAR measurements provides a powerful way to analyze urban infrastructures

Keywords

geophysical signal processing; geophysical techniques; image classification; radar imaging; radar polarimetry; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; InSAR; SAR; dynamic programming; fuzzy classification; fuzzy membership function; geophysical measurement technique; image classification; image processing; land surface; land use; polarimetric radar; radar polarimetry; radar remote sensing; road network; sensor fusion; street pixel; synthetic aperture radar; terrain mapping; three-dimensional method; urban infrastructure; Costs; Data mining; Dynamic programming; Laboratories; Pixel; Polarization; Propulsion; Radar detection; Roads; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.773478

Filename

773478