Improving Urban Land Cover/Use Mapping by Integrating A Hybrid Convolutional Neural Network and An Automatic Training Sample Expanding Strategy.
Xin LuoXiaohua TongZhongwen HuGuofeng WuPublished in: Remote. Sens. (2020)
Keyphrases
- training samples
- land cover
- convolutional neural network
- urban growth
- remote sensing
- urban areas
- change detection
- test sample
- multispectral
- remote sensing images
- climate change
- training set
- satellite images
- training data
- environmental variables
- learning algorithm
- face images
- neural network
- supervised classification
- supervised learning
- face detection
- high dimensional
- geographic information systems
- feature space
- pattern recognition
- reconstruction error
- database management
- cellular automata model
- image processing
- high resolution