Title :
Hyperspectral and IFSAR data for 3D urban characterization
Author :
Gamba, P. ; Houshmand, B.
Author_Institution :
Dipartimento di Elettronica, Pavia Univ., Italy
Abstract :
AVIRIS and AIRSAR data over a urban environment are evaluated. The 2D maps available from hyperspectral classification are used to improve the detection and recognition of built zones starting from the IFSAR DEM. The improvements are twofold: best footprint detection provides a way to better reconstruct the 3D profile of individual buildings. Moreover, different terrain covers (e.g. trees) are recognized and discarded. Examples are provided over the UCLA campus in Los Angeles
Keywords :
geophysical signal processing; geophysical techniques; image processing; multidimensional signal processing; radar imaging; remote sensing; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; AIRSAR; AVIRIS; IFSAR; SAR; best footprint detection; building; buildings; built zone; city; data fusion; geophysical measurement technique; hyperspectral classification; hyperspectral remote sensing; image processing; land surface; multispectral method; radar remote sensing; remote sensing; sensor fusion; synthetic aperture radar; terrain cover; terrain mapping; three dimensional method; town; urban area; urban characterization; Buildings; Data mining; Hyperspectral imaging; Hyperspectral sensors; Image reconstruction; Propulsion; Radar imaging; Sensor phenomena and characterization; Space technology; Synthetic aperture radar interferometry;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.859657
