Liang, Wenjing (2010) Change detection for reconstruction monitoring using very high resolution optical data. Master's, DLR.
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This thesis studies change detection for reconstruction monitoring using VHR optical data. Several pixel-based methods are compared and evaluated for reconstruction monitoring of urban areas, which are classical image differencing, iteratively reweighted multivariate alteration detection (IR-MAD), IR-MAD incorporating textural information and direct multidate classification. In this study, the performances of different agorithms are evaluated quantitatively in terms of various accuracy measures. Compared with manually acquired reference data, the accuracy of the change detection map extracted by IR-MAD combined with textural information is satisfying on the whole.
|Document Type:||Thesis (Master's)|
|Title:||Change detection for reconstruction monitoring using very high resolution optical data|
|Date:||13 December 2010|
|Number of Pages:||71|
|Keywords:||change detection, reconstruction monitoring, VHR, image differencing, IR-MAD, textural information, direct multidate classification|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Bildwissenschaften (old)|
|Institutes and Institutions:||Remote Sensing Technology Institute > Photogrammetry and Image Analysis|
|Deposited By:||Dr.-Ing. Danielle Hoja|
|Deposited On:||18 Jan 2011 10:03|
|Last Modified:||18 Jan 2011 10:03|
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