Synthetic aperture radar image change detection based on convolutional‐curvelet neural network and partial graph‐cut

Synthetic aperture radar image change detection based on convolutional‐curvelet neural network and partial graph‐cut

Abstract Synthetic aperture radar (SAR) images are widely applied in change detection tasks because of SAR's active imaging mechanism. However, SAR images suffer from speckle noise due to SAR reception coherence from distributed targets. This property of SAR increases the uncertainty of the ima...

Full description

Bibliographic Details
Main Authors: Meng Jia, Cheng Zhang, Zhiqiang Zhao, Lei Wang
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:Electronics Letters
Subjects:
Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research
Other topics in statistics
Optical, image and video signal processing
Radar equipment, systems and applications
Combinatorial mathematics
Computer vision and image processing techniques
Online Access:https://doi.org/10.1049/ell2.12290

Internet

https://doi.org/10.1049/ell2.12290

Similar Items