Research on hyper-spectral remote sensing image classification by applying stacked de-noising auto-encoders neural network.
Xiaoai DaiXuwei HeShouheng GuoSenhao LiuFujiang JiHuihua RuanPublished in: Multim. Tools Appl. (2021)
Keyphrases
- remote sensing
- hyperspectral
- image classification
- neural network
- denoising
- remote sensing imagery
- remotely sensed data
- multispectral
- change detection
- hyperspectral images
- remote sensing images
- image processing
- hyperspectral data
- satellite images
- remote sensing data
- spectral imagery
- hyperspectral imaging
- image analysis
- image fusion
- satellite imagery
- satellite data
- hyperspectral remote sensing
- hyperspectral imagery
- remotely sensed
- target detection
- high spatial resolution
- pattern recognition
- high resolution
- pixel classification
- spatial resolution
- land cover
- infrared
- feature extraction
- spectral bands
- land cover classification
- band selection
- spectral data
- remote sensed images
- wavelet domain
- sparse representation
- image features
- high quality
- remotely sensed images
- digital image analysis
- information content
- computer vision
- machine learning