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Auflistung nach Autor:in "Cadario, Erich"

1 - 3 von 3
  • Konferenzbeitrag
    Classification of Vegetation Fusing Multichannel SAR Data by a Fuzzy Approach
    (Informatik 2007 – Informatik trifft Logistik – Band 2, 2007) Thiele, Antje; Schulz, Karsten; Thoennessen, Ulrich; Cadario, Erich
    The improved spatial resolution of modern SAR sensors allows the distinction of significant areas in rural as well as in urban environments. For this purpose additional information layers such as coherence and Coefficient of Variation are derived from a single pass InSAR data set and a classification is performed by means of the commercial software tool Definiens Professional. The focus is on a distinction between typical SAR backscatter. The resultant classes are compared with classification results in an optical image to derive the relation of these SAR-classes to vegetation areas with different natural cover.
  • Konferenzbeitrag
    Fusion of heterogenous multisensor data
    (INFORMATIK 2006 – Informatik für Menschen, Band 1, 2006) Schulz, Karsten; Thiele, Antje; Thoennessen, Ulrich; Cadario, Erich
    One of the main future tasks in the field of reconnaissance and surveillance is the data fusion of heterogeneous systems. For this purpose, sensor data of airborne and spaceborne systems, which acquire the data from the same scene with different spatial and spectral coverage, are used. The employment of different sensors offcrs thc opportunity to take benefit of the specific sensor characteristic to detect and fuse complementary features of the same object. Examples are operational status by IR sensors or material properties provided by multispectral sensor data. The use of different sensors enables the exploitation and the extraction of information on different levels. A data fusion as well as a feature fusion may support a value adding to the reconnaissance chain, which is especially helpful for the interpretation of built up areas in urban terrain. A prerequisite of every data fusion is the registration. In the case of heterogeneous datasets of sensors with different imaging properties a rigorous orthorecitification is necessary. In this paper different examples are presented for a fusion of orthorectified multisensor data. Data fusion on pixel level and feature vector fusion are demonstrated using image data of IR, SAR, VIS and cadastral information.
  • Konferenzbeitrag
    Orthorectification using a high resolution DSM for fusion of data from different sensor systems
    (INFORMATIK 2006 – Informatik für Menschen, Band 1, 2006) Thiele, Antje; Schulz, Karsten; Thoennessen, Ulrich; Cadario, Erich
    The employment of different airborne and spaceborne systems opens the opportunity for an exploitation of complementary as well as supplementary sensor information for many purposes. One of the main future tasks in the field of reconnaissance and surveillance is the fusion of these heterogeneous data. The use of different sensors enables the exploitation and the extraction of information on a higher level, supporting a value adding to the reconnaissance chain, which is especially helpful to interpret built up areas in urban terrain. Because of the different imaging properties of the sensor systems, it is necessary to transform the datasets into a common coordinate system. For each imaging device a specific transformation equation system has to be applied depending on the sensor parameters and supplementary metadata. These specific imaging transformations (orthorectification) using a high resolution Digital Surface Model (DSM) are apllied to a multisensor data set. An orthorectification method especially for SAR images was developed and applied to airborne SAR data. Results are presented.