Support vector machine regression (SVR)-based nonlinear modeling of radiometric transforming relation for the coarse-resolution data-referenced relative radiometric normalization (RRN).
Jing GengWenxia GanJinying XuRuqin YangShuliang WangPublished in: Geo spatial Inf. Sci. (2020)
Keyphrases
- data sets
- support vector machine
- support vector regression
- data processing
- support vector
- training data
- database
- data points
- image data
- high quality
- statistical analysis
- high dimensional data
- raw data
- machine learning
- data analysis
- input data
- preprocessing
- end users
- neural network
- data collection
- model selection
- synthetic data