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

Swedish Defence Research Agency

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Article number	6080929
Journal	Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
DOIs	https://doi.org/10.1109/WHISPERS.2011.6080929
Publication status	Published - 2011
Event	3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011 - Lisbon, Portugal Duration: 6 Jun 2011 → 9 Jun 2011

Keywords

3D LIDAR
Target detection
anomaly detection
fusion
hyperspectral

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10.1109/WHISPERS.2011.6080929

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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 - http://www.scopus.com/inward/record.url?scp=84255192609&partnerID=8YFLogxK

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

Abstract

Keywords

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