Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data.
Haobo LyuHui LuLichao MouWenyu LiJonathon S. WrightXuecao LiXinlu LiXiao Xiang ZhuJie WangLe YuPeng GongPublished in: Remote. Sens. (2018)
Keyphrases
- prior knowledge
- synthetic data
- raw data
- prior information
- background knowledge
- long term
- human knowledge
- statistical methods
- learning algorithm
- test data
- data sets
- sensory data
- redundant data
- user input
- data structure
- input data
- unsupervised learning
- information loss
- bayesian methods
- data collection
- position information
- intensity images
- information sources
- training data
- computer systems
- image data
- data sources
- extracted knowledge
- statistical information
- learned models
- end users
- sensor data
- data analysis
- remote sensing data
- multispectral images
- concept hierarchy
- short term
- pairwise
- information resources
- satellite images
- noisy data
- missing data
- data points
- learning process
- domain knowledge
- label information
- reinforcement learning
- similarity measure
- fusion method
- supervised learning
- model selection
- sensitive information
- labeled data
- training samples
- missing values
- multispectral