Detection in urban scenario using combined airborne imaging sensors

Renhorn, Ingmar; Axelsson, Maria; Benoist, Koen W.; Bourghys, Dirk; Boucher, Yann; Briottet, Xavier; Ceglie, Sergio De; Dekker, R.J.; Dimmeler, Alwin; Dost, R.J.J.; Friman, Ola; Kåsen, Ingebjørg; Maerker, Jochen; Persie, M. van; Resta, Salvatore; Schwering, Piet B. W.; Shimoni, Michal; Haavardsholm, Trym Vegard

doi:10.1117/12.921473

Cited by 6 publications

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“…However, interpreting or post-processing the detected anomalies requires considerable effort because of the great diversity of materials in the urban environment. 1 Furthermore, using a single image exploits only part of the large amount of information that could be gathered by imaging an area successfully over time, and which combines data from different imaging sensors.…”

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confidence: 99%

“…Analyzing data from the trial, we considered many different applications for remote sensing data, reporting preliminary results in 2012. 1 We checked the quality of the remotely sensed hyperspectral data using ground truth measurements (information collected at the site) and modeling of radiative transfer (the movement of radiation with regard to emission, absorption, and scattering). We compared measured spectra extracted from a hyperspectral image with simulated spectra from ground and atmospheric measurements and the MODTRAN computer program (MODerate resolution atmospheric TRANsmission).…”

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Enhanced hyperspectral imaging for urban reconnaissance

Renhorn¹

2013

SPIE Newsroom

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Combining images from airborne sensors enables accurate classification of materials and infrastructure in urban areas, enabling defense applications.A European Defence Agency framework has combined highspatial and -spectral resolution images from airborne sensors to improve detection and classification of objects in towns and cities. The project offers possible solutions to challenges in obtaining accurate georeferences, and explores the use of change detection algorithms and spectral matching to detect anomalies in the urban environment.The four-year framework (Detection in Urban scenario using Combined Airborne imaging Sensors, or DUCAS) combined the resources of Sweden, . We undertook an extensive field trial in Zeebrugge, Belgium in 2011, supplying instrumentation for 3D mapping, hyperspectral and high-resolution imagery, together with in situ techniques to measure target, background, and atmospheric characterizations. Analyzing data from the trial, we considered many different applications for remote sensing data, reporting preliminary results in 2012. 1 We checked the quality of the remotely sensed hyperspectral data using ground truth measurements (information collected at the site) and modeling of radiative transfer (the movement of radiation with regard to emission, absorption, and scattering). We compared measured spectra extracted from a hyperspectral image with simulated spectra from ground and atmospheric measurements and the MODTRAN computer program (MODerate resolution atmospheric TRANsmission). The measurements included temperature and humidity profiles, target spectral reflectance, surface temperature, and sensor characteristics.Due to the complexity of urban environments and human activities, the spatial and spectral characteristics of targets and backgrounds are extremely diverse. This makes the detection

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confidence: 99%

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Enhanced hyperspectral imaging for urban reconnaissance

Renhorn¹

2013

SPIE Newsroom

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“…DUCAS started in 2010 and will end in 2013. For the scope of DUCAS an extensive data set of hyperspectral and high spatial resolution data was generated in a common field trial in Zeebrugge, Belgium [1,2], in the year 2011. Additionally, 3D-laser data were acquired earlier to the field trial.…”

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confidence: 99%

Combined airborne sensors in urban environment

et al. 2013

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Military operations in urban areas became more relevant in the past decades. Detailed situation awareness in these complex environments is crucial for successful operations. Within the EDA (European Defence Agency) project on "Detection in Urban scenario using Combined Airborne imaging Sensors" (DUCAS) an extensive data set of hyperspectral and high spatial resolution data as well as three dimensional (3D) laser data was generated in a common field trial in the city of Zeebrugge, Belgium, in the year 2011. In the frame of DUCAS, methods were developed at two levels of processing. In the first level, single sensor data were used for land cover mapping and the detection of targets of interest (i.e. personnel, vehicles and objects). In the second level, data fusion was applied at pixel level as well as information level to investigate the benefits of combining sensor systems in an operational context. Providing data for mission planning and mapping is an important task for aerial reconnaissance and it includes the creation or the update of high quality 2D and 3D maps. In DUCAS, semi-automatic methods and a wide range of sensor data (hyperspectral, LIDAR, high resolution orthophotos and video data) were used for the creation of highly detailed land cover maps as well as urban terrain models. Combining the diverse information gained by different sensors increases the information content and the quality of the extracted information. In this paper we will present advanced methods for the creation of 2D/3D maps, show results and the benefit of fusing multi-sensor data

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“…Different techniques are studied in a European context (DUCAS project). First study results are shown in Renhorn et al (2012) [13] and more specific on change detection in Dekker et al (2013) [14]. Combination of information from various sources and various processing techniques is the key parameter.…”

Section: Automated Processingmentioning

confidence: 99%

Image enhancement technology research for army applications

2013

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Recognition and identification ranges are limited to the quality of the images. Both the received contrast and the spatial resolution determine if objects are recognizable. Several aspects affect the image quality. First of all the sensor itself. The image quality depends on the size of the infrared detector array and the sensitivity. Second, also the intervening atmosphere, in particular over longer ranges, has an impact on the image quality. It degrades the contrast, due to transmission effects, as well as it influences the resolution, due to turbulence blur, of the image. We present studies in the field of infrared image enhancement. Several techniques are described: noise reduction, super resolution, turbulence compensation, contrast enhancement, stabilization. These techniques operate in real-time on COTS/MOTS platforms. They are especially effective in the army theatre, where long horizontal paths, and short line-of-sight limited urban operations are both present. Application of these techniques on observation masts, such as on military camp sites, and on UAVs and moving ground vehicles are discussed. Examples will be presented from several trials in which these techniques were demonstrated, including the presentation of test results.

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Detection in urban scenario using combined airborne imaging sensors

Cited by 6 publications

References 3 publications

Enhanced hyperspectral imaging for urban reconnaissance

Enhanced hyperspectral imaging for urban reconnaissance

Combined airborne sensors in urban environment

Image enhancement technology research for army applications

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