Detection of vehicles in shadow areas

M. Shimoni; G. Tolt; Christiaan Perneel; J. Ahlberg

doi:10.1109/WHISPERS.2011.6080929

Detection of vehicles in shadow areas

M. Shimoni
, G. Tolt
, Christiaan Perneel
, J. Ahlberg

Wiskunde

Swedish Defence Research Agency

Onderzoeksoutput: Bijdrage aan een tijdschrift › Congresartikel › peer review

12 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Artikelnummer	6080929
Tijdschrift	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
DOI's	https://doi.org/10.1109/WHISPERS.2011.6080929
Status	Gepubliceerd - 2011
Evenement	3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011 - Lisbon, Portugal Duur: 6 jun. 2011 → 9 jun. 2011

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10.1109/WHISPERS.2011.6080929

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@article{40827fcf70bd4fcdab4dd16ed3ac03ea,

title = "Detection of vehicles in shadow areas",

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 = "3D LIDAR, Target detection, anomaly detection, fusion, hyperspectral",

author = "M. Shimoni and G. Tolt and Christiaan Perneel and J. Ahlberg",

year = "2011",

doi = "10.1109/WHISPERS.2011.6080929",

language = "English",

journal = "Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing",

issn = "2158-6276",

note = "3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011 ; Conference date: 06-06-2011 Through 09-06-2011",

}

TY - JOUR

T1 - Detection of vehicles in shadow areas

AU - Shimoni, M.

AU - Tolt, G.

AU - Perneel, Christiaan

AU - Ahlberg, J.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - 3D LIDAR

KW - Target detection

KW - anomaly detection

KW - fusion

KW - hyperspectral

UR - https://www.scopus.com/pages/publications/84255192609

U2 - 10.1109/WHISPERS.2011.6080929

DO - 10.1109/WHISPERS.2011.6080929

M3 - Conference article

AN - SCOPUS:84255192609

SN - 2158-6276

JO - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

JF - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

M1 - 6080929

T2 - 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011

Y2 - 6 June 2011 through 9 June 2011

ER -

Detection of vehicles in shadow areas

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