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检索条件"机构=FGAN-Research Institute for Optronics and Pattern Recognition"

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Wideband protection filter (WPF) integrated within optical systems

Wideband protection filter (WPF) integrated within optical s...

引用

Electro-Optical and Infrared Systems: Technology and Applications V

作者： Ritt, G. Eberle, B. Ebert, R. Fisher, T. Nemet, B. Oron, M. Donval, A. KiloLambda Technologies Ltd. 22a Raoul Wallenberg St. Tel Aviv 61580 Israel FGAN-FOM Research Institute for Optronics and Pattern Recognition Gutleuthausstr. 1 76275 Ettlingen Germany

ISBN: (纸本)9780819473455

Laser radiation may lead to permanent damage of the human eye when it is exposed to high power irradiation, especially when using magnifying optics such as binoculars, sights or periscopes. Into such an optical system we integrated a novel passive solid-state threshold-triggered Wideband Protection Filter (WPF) that blocks the transmission only if the power exceeds a certain threshold. At input powers below threshold, the filter has high transmission over the whole spectral band. However, when the input power exceeds the threshold power, transmission is decreased dramatically. We demonstrate the WPF integration within a typical optical system and the influence of system parameters on the protection capability of the filter. © 2008 SPIE.

关键词： Bandpass filters

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A New Concept for SAR Image Quality Assessment Realizing Barpatterns in SAR Images

A New Concept for SAR Image Quality Assessment Realizing Bar...

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European conference on synthetic aperture radar

作者： Karsten Schulz Antje Thiele Ulrich Thoennessen Thomas Ritter A. R. Brenner FGAN-FOM Research Institute for Optronics and Pattern Recognition Germany FGAN-FHR Research Institute for High Frequency Physics and Radar Techniques Germany

ISBN: (纸本)9783800730841

Image quality assessment of SAR images is usually done by evaluating the signal of active or passive corner reflectors, as this signal is very close to the system point response. For Electro-Optical (EO) sensors bar patterns like tree bars are widely used and standardised for image quality assessment. At the FOM a concept was developed to realize bar patterns in SAR images. A Test Field was constructed creating the necessary contrast by different surface roughness. This Test Field was recorded with the very high resolution SAR-Sensor PAMIR developed and operated by the FHR. The minimum dimensions of the Test Field are related to the considered spatial resolution of the sensor system. The sub-decimeter resolution provided by the PAMIR-system allowed to build the Test Field for this feasibility study with low effort and minimal cost. The first SAR images show that the bar patterns can be clearly identified. Furthermore, the contrast modulation achieved by the roughness variations was very successful for this purpose. Bar patterns allow an image quality assessment even by non-specialists and additionally this concept builds a bridge to image assessment procedures commonly used for EO sensors.

关键词： Surface roughness Rough surfaces Image resolution Radar imaging Bars Image quality

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Non-cooperative classification of helicopters using millimetre wave radar and ISAR processing

Non-cooperative classification of helicopters using millimet...

引用

Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles, TIWDC/ESAV

作者： H. Essen M. Hagelen A. Wahlen K.-H. Bers M. Jager M. Hebel FGAN-Research Institute of High Frequency Physics and Radar Techniques (FHR) Wachtberg Germany FGAN Research Institute for Optronics and Pattern Recognition Ettlingen Germany

Light weight and compact radars with high resolution capability can be built at millimeter wave frequencies. This has been demonstrated for a long period of time for missile seeker application for military use and as automotive radars in a civilian application. The technological advantages of this type of radar can be adapted to security applications in air traffic management at short and medium range as well as on the ground. The application discussed in this paper, focuses on the derivation of high resolution signatures of flying helicopters for non-cooperative classification schemes.

关键词： Radar Helicopters Scattering Radar imaging Radar tracking Image resolution Antenna measurements

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Modelling and Analysing InSAR Phase Profiles at Building Locations in Multi-Aspect and Multi-Resolution Data

Modelling and Analysing InSAR Phase Profiles at Building Loc...

引用

7th European Conference on Synthetic Aperture Radar

作者： Antje Thiele Ulrich Thoennessen Erich Cadario Karsten Schulz Uwe Soergel FGAN-FOM Research Institute for Optronics and Pattern Recognition Germany Institute of Photogrammetry and GeoInformation Leibniz Universität Hannover Germany

The improved ground resolution of state-of-the-art synthetic aperture radar (SAR) sensors suggests utilizing SAR data for the analysis of urban areas. Even in the case of multi-aspect InSAR, for building recognition usually the analysis is triggered mainly from features detected in the magnitude images and the benefit of fusing different views. However, considering InSAR data significant phase profiles in range direction at building locations are observable, caused by information mixture of the building and its surrounding area. Hence, it is worthwhile to make efforts to understand such phase variations to improve the building recognition, especially in the case of multi-aspect, multi-sensor and multi-temporal data. In this paper three InSAR data sets of the airborne sensors AeS-1 and STAR-3i (Intermap Technologies) with a slant range resolution of 38 cm respectively 1 m are investigated. Two of them are used to reconstruct initial building hypotheses based on our previous approach. Given these 3D models, the simulation of phase profiles at the building location is realized considering the specific sensor and illumination parameters of the data sets. According to the multi-aspect and multi-resolution configurations, changes in the phase distribution are observable. Subsequently, an assessment between the real and simulated phases is done and the potentials of considering these effects in the building recognition process are discussed.

关键词： Buildings Image reconstruction Analytical models Data models Geometry Earth Atmospheric modeling

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Fusion of perceptual processes for real-time object tracking

Fusion of perceptual processes for real-time object tracking

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International Conference on Information Fusion

作者： Kai Jungling Michael Arens Marc Hanheide Gerhard Sagerer Research Institute for Optronics and Pattern Recognition FGAN-FOM Ettlingen Germany Applied Computer Science Bielefeld University Bielefeld Germany

This paper introduces a generic architecture for the fusion of perceptual processes and its application in real-time object tracking. In this architecture, the well known anchoring approach is, by integrating techniques from information fusion, extended to multi-modal anchoring so as to be applicable in a multi-process environment. The system architecture is designed to be applicable in a generic way, independent of specific application domains and of the characteristics of the underlying sensory processes. It is shown that, by combining multiple independent video-based detection methods, the generic multi-modal anchoring approach can be successfully employed for real-time person tracking in difficult environments.

关键词： Reliability Real time systems Runtime Computer architecture Uncertainty Face Gain

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Applications for remote laser vibration sensing

Applications for remote laser vibration sensing

引用

IEEE PhotonicsGlobal@Singapore, IPGC

作者： Reinhard Ebert Peter Lutzmann Marcus Hebel Research Institute for Optronics and Pattern Recognition Ettlingen Germany

Laser vibrometry based on coherent detection techniques allows to measure vibration characteristics of objects due to the high Doppler resolution. Examples for applications in the field of defense and security such as target classification and identification including camouflaged or partly concealed targets as well as the detection of buried land mines are presented.

关键词： Laser applications Laser radar Vibration measurement Fiber lasers Radar detection Radar applications Radar imaging Laser beams Frequency Spatial resolution

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Change Detection for Bridges over Water in Airborne and Spaceborne SAR Data

Change Detection for Bridges over Water in Airborne and Spac...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Erich Cadario Hermann Gross Horst Hammer Karsten Schulz Antje Thiele Ulrich Thoennessen Uwe Soergel Dan J. Weydahl Research Institute for Optronics and Pattern Recognition (FGAN-FOM) Ettlingen Germany Institute of Photogrammetry and GeoInformation (IPI) Leibniz Universität Hannover Hannover Germany Norwegian Defence Research Establishment (FFI) Land and Airsystems Division Kjeller Norway

The main advantages of SAR are the capability of imaging large areas in short time and delivering data at any day time and under nearly all weather conditions. This is especially important for disaster management and continuous long term monitoring applications. Key elements of man-made infrastructure are bridges. Especially for bridges over water, the SAR specific side looking imaging geometry can lead to special characteristics in the image. In this paper, the possibilities of extracting bridge features like width and height from SAR data, especially for bridges over water, are discussed. The feature extraction is based on the segmentation of parallel lines in an image. An approach is presented to exploit this feature extraction for change detection. The investigations are supported by SAR simulations, and real airborne and spaceborne data are presented.

关键词： Bridges Feature extraction Data mining Geometry Reflection Image resolution Water Image segmentation High-resolution imaging Radar scattering

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A perturbation suppressing segmentation technique based on adaptive diffusion

A perturbation suppressing segmentation technique based on a...

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8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA)

作者： Middelmann, Wolfgang Ebert, Alfons Deissler, Tobias Thoennessen, Ulrich FGAN-FOM Research Institute for Optronics and Pattern Recognition Germany

ISBN: (纸本)9783540715900

Segmentation is a fundamental task in pattern recognition and basis for high level applications like scene reconstruction, change detection, or object classification. The performance of these tasks suffers from a distorted segmentation. In this contribution an adaptive diffusion-based segmentation method is proposed suppressing perturbations in the segmentation with focusing on small regions with high contrast to their surrounding. The algorithm determines in each step the diffusion tensor. It is re-weighted with respect to an assessment stage. A comparative study uses high-resolution remote sensing data.

关键词： Image segmentation

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Automatic target recognition in SAR images based on a SVM classification scheme

Automatic target recognition in SAR images based on a SVM cl...

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8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA)

作者： Middelmann, Wolfgang Ebert, Alfons Thoennessen, Ulrich FGAN-FOM Research Institute for Optronics and Pattern Recognition Germany

ISBN: (纸本)9783540715900

The performance of classifiers is commonly evaluated by classification rate and false alarm rate (FAR). Many applications like traffic monitoring, surveillance and other security relevant tasks suffer from the problem balancing the performance criteria in an appropriate way. In this contribution, we propose a kernel classification scheme with high performance in discriminating classes and rejecting clutter objects. Especially, it determines a class membership assessment. The classification scheme consists of two kernel classification stages and a maximum decision module as combiner. For tests, we use targets taken from the MSTAR synthetic aperture radar (SAR) dataset and clutter objects extracted from SAR scenes by a screening process. The dependency on parameter variations is shown and receiver operator characteristic (ROC) curves are given. The results confirm the high classification performance at low FARs. The integration into an operational demonstration system is in progress.

关键词： Radar imaging

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Segmentation of tree regions using data of a full-waveform laser

Segmentation of tree regions using data of a full-waveform l...

引用

Photogrammetric Image Analysis, PIA 2007

作者： Gross, H. Jutzi, B. Thoennessen, U. FGAN-FOM Research Institute for Optronics and Pattern Recognition 76275 Ettlingen Germany

The new sensor technique for receiving full-waveform laser data delivers not only height information but also additional features like intensity. The echoes generated by reflecting objects are approximated by amplitude and width of a Gaussian kernel. These features are used for tree region segmentation. The inclusion of the available information in the environment around each 3d point of the cloud can be used to stabilize the segmentation process. Two kinds of environments spherical and cylindrical are discussed. The calculation of the covariance inside these environments is discussed without and with weighting all points by their measured intensity. An application of the described method is demonstrated for a typical scene. A method for the correction of the number of points inside an environment produced by the movements of the sensor platform is presented. Two proposals are described for the segmentation of trees. One of them uses the eigenvalues of the covariance matrix in an environment. The other method considers only the features of the echoes for each laser pulse without considering an environment.

关键词： Covariance matrix

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