PERONA-MALIK DIFFUSION DRIVEN CNN FOR SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES.
Ning WenQichao LiuLiang XiaoPublished in: IGARSS (2020)
Keyphrases
- supervised classification
- hyperspectral images
- perona malik
- anisotropic diffusion
- nonlinear diffusion
- multiscale
- partial differential equations
- scale space
- hyperspectral
- unsupervised classification
- gaussian scale space
- hyperspectral data
- supervised learning
- hyperspectral imagery
- diffusion equation
- unsupervised learning
- diffusion process
- remote sensing
- multispectral
- edge detection
- scale spaces
- level set
- image segmentation
- image denoising
- remotely sensed images
- image processing
- machine learning
- infrared
- target detection
- image enhancement
- critical points
- remote sensing images
- multispectral images
- natural images
- denoising
- wavelet transform
- image analysis
- training data
- computer vision