Selective Kernel Res-Attention UNet: Deep Learning for Generating Decorrelation Mask With Applications to TanDEM-X Interferograms
Decorrelation is one of the main limitations for synthetic aperture radar interferometry. Masking decorrelated pixels is crucial for retrieving information from SAR interferograms. However, for traditional masking methods, manually drawing masks is time-consuming and may be unfeasible when decorrela...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9516966/ |