Attention-Based Spatial and Spectral Network with PCA-Guided Self-Supervised Feature Extraction for Change Detection in Hyperspectral Images.
Zhao WangFenlong JiangTongfei LiuFei XiePeng LiPublished in: Remote. Sens. (2021)
Keyphrases
- hyperspectral images
- change detection
- remote sensing
- hyperspectral data
- feature extraction
- hyperspectral
- remotely sensed
- hyperspectral imagery
- remotely sensed data
- spectral signatures
- principal component analysis
- remote sensing data
- remote sensing images
- spectral features
- multispectral
- satellite images
- image processing
- satellite imagery
- multispectral images
- remote sensing imagery
- face recognition
- spectral bands
- high resolution
- image fusion
- image analysis
- remotely sensed images
- data streams
- land cover
- dimension reduction
- feature space
- image registration
- principle component analysis
- spatial information
- dimensionality reduction
- wavelet transform
- feature selection
- infrared
- random projections
- image classification
- spatial data
- principal components
- neural network
- pattern recognition
- target detection
- feature vectors
- mutual information
- edge detection
- image data