Data Reduction and Deep-Learning Based Recovery for Geospatial Visualization and Satellite Imagery.
Jarin TasnimDebajyoti MondalPublished in: IEEE BigData (2020)
Keyphrases
- data reduction
- deep learning
- satellite imagery
- data analysis
- remote sensing
- data compression
- change detection
- satellite images
- unsupervised learning
- machine learning
- preprocessing
- urban areas
- feature selection
- classification rules
- classification accuracy
- mental models
- knowledge discovery
- model selection
- data mining
- rough set theory
- multispectral
- singular value decomposition
- feature extraction
- weakly supervised
- high dimensionality
- spatial data
- land cover
- dimensionality reduction
- reinforcement learning
- bayesian networks
- clustering algorithm
- high resolution
- image compression