Three dimensional urban characterization by IFSAR measurements

Author

Gamba, P. ; Houshmand, B.

Author_Institution

Dipartimento di Elettronica, Pavia Univ., Italy

Volume

5

fYear

1999

fDate

1999

Firstpage

2401

Abstract

In this paper a machine vision approach is applied to IFSAR data to extract the most relevant built structures in a dense urban environment. The algorithm tries to cluster primitives (line segments) into more complex surfaces (planes) to approximate the 3D shape of these objects. Very interesting results starting from TOPSAR data recorded over S. Monica are presented

Keywords

geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; IFSAR; InSAR; SAR; algorithm; building; buildings; built structure; city; clustering; complex surface; geophysical measurement technique; land surface; land use; line segment; machine vision; primitive; radar imaging; radar interferometry; radar remote sensing; synthetic aperture radar; terrain mapping; three dimensional urban characterization; town; urban; Buildings; Data mining; Hyperspectral sensors; Image segmentation; Machine vision; Remote sensing; Shape; Spatial resolution; Synthetic aperture radar; Synthetic aperture radar interferometry;

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.1999.771523

Filename

771523