FERA-Net: A Building Change Detection Method for High-Resolution Remote Sensing Imagery Based on Residual Attention and High-Frequency Features.
Xuwei XuYuan ZhouXiechun LuZhanlong ChenPublished in: Remote. Sens. (2023)
Keyphrases
- high frequency
- detection method
- high resolution
- remote sensing imagery
- remote sensing
- low frequency
- feature detection
- wavelet transformation
- detection algorithm
- visual quality
- low resolution
- subband
- wavelet transform
- face detection
- feature space
- feature vectors
- image features
- super resolution
- high quality
- spatial resolution
- wavelet coefficients
- image processing
- change detection
- remote sensing images
- hyperspectral
- pattern recognition
- multispectral
- feature set
- face images
- frequency domain
- feature extraction
- image compression
- discrete wavelet transform
- multiscale
- machine learning