DisOptNet: Distilling Semantic Knowledge From Optical Images for Weather-Independent Building Segmentation

Synthetic aperture radar (SAR) images provide all-weather and all-time capabilities for Earth observation, which becomes highly beneficial in the field of intelligent remote sensing (RS) image interpretation. Due to these advantages, SAR images have been widely exploited in automatic building segmen...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-15
Hauptverfasser:	Kang, Jian, Wang, Zhirui, Zhu, Ruoxin, Xia, Junshi, Sun, Xian, Fernandez-Beltran, Ruben, Plaza, Antonio
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive optics Aggregation Artificial neural networks Building extraction Buildings Computer architecture deep learning Disasters Distillation Image processing Image segmentation knowledge distillation Knowledge management Low level Methods Mimicry missing modality Neural networks Optical imaging Optical sensors Radar imaging Radar polarimetry Remote observing Remote sensing SAR (radar) semantic segmentation Semantics Synthetic aperture radar synthetic aperture radar (SAR) transfer learning Weather
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