Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification.
Shaohui MeiJingyu JiYunhao GengZhi ZhangXu LiQian DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- hyperspectral
- hyperspectral images
- hyperspectral data
- supervised learning
- unsupervised learning
- infrared
- restricted boltzmann machine
- pixel classification
- remote sensing
- feature vectors
- hyperspectral imagery
- spatial frequency
- learning algorithm
- hyperspectral image classification
- multispectral
- spectral signatures
- remote sensing data
- band selection
- support vector machine
- deep learning
- spatial features
- multi band
- active learning
- target detection
- spatial resolution
- image data
- supervised classification
- land cover classification
- training set
- spectral data
- hyperspectral remote sensing
- hyperspectral imaging
- color images
- machine learning
- high quality
- high resolution
- satellite images
- change detection