Change Detection in SAR Images Based on Improved Non-Subsampled Shearlet Transform and Multi-Scale Feature Fusion CNN
Traditional methods for change detection in synthetic aperture radar images have difficulty in obtaining results from the generated differential image (DI) owing to speckle noise. In recent years, many deep learning-based methods have emerged because of their outstanding anti-noise and self-learning...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9610984/ |