Disputation von Di Zhang am 18.05.2022, 16:00 Uhr

18. Mai 2022, von Reinhard Zierke

Einladung zur hochschulöffentlichen Disputation im Rahmen des Promotionsverfahrens von
Di Zhang

Titel der Dissertation:
Synthetic Aperture Radar Image Interpretation Based on Deep Learning

Abstract:

Synthetic Aperture Radar (SAR) is an active radar, which can obtain high-resolution images under all-day and all-weather conditions. SAR image interpretation is to acquire key information from SAR images. It has found various applications in military and civil community. However, SAR images are strongly affected by speckle noise and geometric distortion effects. This makes the information extraction from SAR images challenging to perform. The dissertation focuses on developing deep learning-based approaches for SAR image interpretation. Firstly, this dissertation realizes oceanic SAR eddy detection based on a novel Mask Edge Enhancement and IoU Score Region-based Convolutional Neural Network (Mask-ES-RCNN) framework. Secondly, this dissertation proposes an UNet-based semantic segmentation network with a Texture Enhancement Module (TE-UNet) for intertidal sediments and habitats classification. Finally, this dissertation presents a SAR-Optical Fusion UNet model (SOF- UNet) based on the existing largest dataset SEN12MS which provides optical and SAR pairs to realize land cover classification. The final experiment results display that these three models outperform the performances of state-of-the-art methods, showing both theoretical significance and practical value in the SAR interpretation field.

Datum und Uhrzeit: Mittwoch, 18. Mai 2022 um 16:00 Uhr
Ort: Videokonferenz in Zoom
Betreuer: Prof. Dr. Jianwei Zhang

Prof. Dr. Matthias Rarey
Vorsitzender des Fachpromotionsausschusses Informatik