Improving Land Cover Classification with a Shift-Invariant Center-Focusing Convolutional Neural Network.
Cong LuoYuansheng HuaLichao MouXiao Xiang ZhuPublished in: IGARSS (2021)
Keyphrases
- shift invariant
- convolutional neural network
- land cover classification
- wavelet domain
- wavelet coefficients
- multispectral
- rotation invariant
- discrete wavelet transform
- face detection
- supervised classification
- remote sensing data
- neural network
- hyperspectral
- edge preserving
- denoising
- land cover
- feature vectors
- sparse coding
- multiscale
- blurred images
- spatial domain
- subband
- image representation
- wavelet transform
- image data
- feature extraction