Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration. These methods generally follow the nonlocal filtering processing chain, aiming at circumventing the staircase effect and pres...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems Jg. 32; H. 2; S. 826 - 840
Hauptverfasser: Kang, Jian, Hong, Danfeng, Liu, Jialin, Baier, Gerald, Yokoya, Naoto, Demir, Begum
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:2162-237X, 2162-2388, 2162-2388
Online-Zugang:Volltext
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