Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral Imagery.
Lichao MouYuansheng HuaSudipan SahaFrancesca BovoloLorenzo BruzzoneXiao Xiang ZhuPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- multispectral
- change detection
- remote sensing
- remote sensing data
- image data
- remote sensing images
- satellite images
- satellite imagery
- remotely sensed
- land cover
- remotely sensed data
- remote sensing imagery
- data sets
- hyperspectral data
- high spatial resolution
- remotely sensed images
- satellite data
- hyperspectral
- multispectral images
- supervised learning
- image analysis
- high quality
- infrared
- image classification
- high resolution
- digital elevation models
- pattern recognition
- computer vision