SARPointNet: An Automated Feature Learning Framework for Spaceborne SAR Image Registration

SARPointNet: An Automated Feature Learning Framework for Spaceborne SAR Image Registration

Accurate registration between synthetic aperture radar (SAR) images is the basis for high-precision geometric correction of SAR images. The feature points extracted by conventional feature extraction methods are unsatisfactory, which are affected by imaging geometric characteristics and speckle nois...

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Bibliographic Details
Main Authors: Xin Li, Taoyang Wang, Hao Cui, Guo Zhang, Qian Cheng, Tiancheng Dong, Boyang Jiang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
rational polynomial coefficients (RPCs)
registration
synthetic aperture radar (SAR) image
Online Access:https://ieeexplore.ieee.org/document/9850384/

Internet

https://ieeexplore.ieee.org/document/9850384/

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