An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multitemporal VHR SAR Images
نویسندگان
چکیده
منابع مشابه
Advanced methods for change detection in VHR multitemporal SAR images
Change detection aims at identifying possible changes in the state of an object or phenomenon by jointly observing data acquired at different times over the same geographical area. In this context, the repetitive coverage and high quality of remotely sensed images acquired by Earth-orbiting satellites make such kind of data an ideal information source for change detection. Among the different k...
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In remote sensing, image-based change detection techniques, analyze two images acquired over the same area at different times t1 and t2 to identify the changes occurred on the Earth's surface. Change detection approaches are mainly categorized as supervised and unsupervised. Generating the change index is a key step for change detection in multi-temporal remote sensing images. Unsupervised chan...
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In this paper, a novel automatic approach to the unsupervised identification of changes in multitemporal remote-sensing images is proposed. This approach, unlike classical ones, is based on the formulation of the unsupervised change-detection problem in terms of the Bayesian decision theory. In this context, an adaptive semiparametric technique for the unsupervised estimation of the statistical...
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........................................................................................ I SAMMANFATTNING .................................................................... IV ACKNOWLEDGEMENTS ........................................................... VII TABLE OF CONTENTS ................................................................. IX LIST OF FIGURES ......................................
متن کاملChange Detection Using Multitemporal SAR Images
................................................................................................ i Acknowledgements ............................................................................. iii
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2020
ISSN: 1939-1404,2151-1535
DOI: 10.1109/jstars.2020.3026838