Detection of vehicles in shadow areas

Author

Shimoni, M. ; Tolt, G. ; Perneel, C. ; Ahlberg, J.

Author_Institution

Dept. of Electr. Eng., SIC-RMA, Brussels, Belgium

fYear

2011

fDate

6-9 June 2011

Firstpage

1

Lastpage

4

Abstract

This paper presents a new method to automatically detect occluded vehicle in semi or deep shadow areas using combined very high resolution (VHR) 3D LIDAR and hyperspectral data. The proposed shape/spectral integration (SSI) decision fusion algorithm was shown to outperform the spectral based anomaly algorithm mainly in deep shadow areas. The fusion of LIDAR DSM data with spectral data is useful in the detection of vehicles in semi and deep shadow areas. The utility of shape information was shown to be a way to enhance spectral target detection in complex urban scene.

Keywords

image fusion; image resolution; natural scenes; object detection; optical radar; radar resolution; road vehicles; spectral analysis; LIDAR DSM data fusion; SSI decision fusion algorithm; VHR 3D LIDAR; automatically occluded vehicle detection; complex urban scene; deep shadow areas; semi shadow areas; shape information; shape-spectral integration decision fusion algorithm; spectral based anomaly algorithm; spectral target detection; very high resolution 3D LIDAR; Hyperspectral imaging; Laser radar; Object detection; Shape; Three dimensional displays; Vehicles; 3D LIDAR; Target detection; anomaly detection; fusion; hyperspectral;

fLanguage

English

Publisher

ieee

Conference_Titel

Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on

Conference_Location

Lisbon

ISSN

2158-6268

Print_ISBN

978-1-4577-2202-8

Type

conf

DOI

10.1109/WHISPERS.2011.6080929

Filename

6080929