Radiometric equalization of remote sensing data by utilization of laser scan data

Author

Buckner, J. ; Pahl, M. ; Stahlhut, O.

Author_Institution

Inst. fur Theor. Nachrichtentech. und Inf., Hannover Univ., Germany

Volume

2

fYear

2001

fDate

2001

Firstpage

1111

Abstract

This contribution describes a new approach for detection of shadow areas appearing in remote sensing image data. Identification of objects like streets or vehicles is frequently disturbed by illumination effects like hard shadows or inhomogeneous darkening due to varying tilt angles of the processed terrain. To increase the reliability of the recognition process, we apply a sensor fusion of elevation data from laser scanning and optical image data. The represented algorithm improves the results iteratively. The different results are discussed and then used for further processing within a radiometric equalization

Keywords

equalisers; feature extraction; image recognition; object recognition; optical scanners; radiometry; remote sensing by laser beam; sensor fusion; algorithm; elevation data; feature extraction; hard shadows; illumination effects; inhomogeneous darkening; laser scan data; laser scanning; object identification; optical image data; processed terrain; radiometric equalization; recognition process reliability; remote sensing data; remote sensing image data; sensor fusion; shadow areas detection; streets; tilt angles; vehicles; Image analysis; Laser fusion; Laser modes; Laser theory; Lighting; Object recognition; Radiometry; Remote monitoring; Remote sensing; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2001. Canadian Conference on

Conference_Location

Toronto, Ont.

ISSN

0840-7789

Print_ISBN

0-7803-6715-4

Type

conf

DOI

10.1109/CCECE.2001.933597

Filename

933597