H
Henning Skriver
Researcher at National Space Institute
Publications - 94
Citations - 2272
Henning Skriver is an academic researcher from National Space Institute. The author has contributed to research in topics: Synthetic aperture radar & Wishart distribution. The author has an hindex of 20, co-authored 92 publications receiving 1980 citations. Previous affiliations of Henning Skriver include University of Copenhagen & Technical University of Denmark.
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A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data
TL;DR: A test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are derived and applied successfully to change detection in polarimetric SAR data.
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Improving SAR Automatic Target Recognition Models With Transfer Learning From Simulated Data
David Malmgren-Hansen,Anders Kusk,Jørgen Dall,Allan Aasbjerg Nielsen,Rasmus Engholm,Henning Skriver +5 more
TL;DR: This letter shows the first study of Transfer Learning between a simulated data set and a set of real SAR images, and shows that a Convolutional Neural Network pretrained on simulated data has a great advantage over a Convnet trained only on real data, especially when real data are sparse.
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CFAR edge detector for polarimetric SAR images
TL;DR: A new edge detector for polarimetric SAR images is presented using a newly developed test statistic in the complex Wishart distribution to test for equality of covariance matrices and it is demonstrated that superior edge detection results are obtained using polarIMetric and/or multifrequency data compared to using only intensity data.
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Multitemporal C- and L-band polarimetric signatures of crops
TL;DR: The correlation coefficient between HH and VV showed a large difference between spring and winter crops in the beginning of the growing season, because of the dominance of surface scattering for spring crops and volume scattering for winter crops.
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Crop Classification by Multitemporal C- and L-Band Single- and Dual-Polarization and Fully Polarimetric SAR
TL;DR: A multitemporal data set from the Danish airborne polarimetric EMISAR has been used to assess the performance of different polarization modes for crop classification, where the best overall results are obtained using the mult itemporal information.