Deep Learning Imaging for One-Dimensional Aperture Synthesis Radiometers

For one-dimensional aperture synthesis (1-D AS) radiometers, truncated sampling occurs in the frequency domain due to the system baseline limitation. Therefore, there is an obvious Gibbs oscillation in the reconstructed image. To solve this problem, an imaging method based on a one-dimensional convo...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023-02, p.1-1
Hauptverfasser:	Dou, Haofeng, Xiao, Chengwang, Li, Hao, Li, Yinan, Dang, Pengju, Lv, Rongchuan, Li, Pengfei, Song, Guangnan, Wu, Yuanchao, Yang, Xiaojiao, Liu, Shubo, Jiang, Renzhi, Wang, Wenjing
Format:	Artikel
Sprache:	eng
Schlagworte:	1-D AS radiometer Baseline missing BT Reconstruction Convolutional neural networks Deep CNN Feature extraction Frequency-domain analysis Image reconstruction Imaging Radiometers Training
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