A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China.
Yingbing LiuYuqin WuZeqiang ChenMin HuangWenying DuNengcheng ChenChangjiang XiaoPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2022)
Keyphrases
- training samples
- automatically generating
- remote sensing
- multi source
- remote sensing imagery
- data fusion
- multispectral
- remote sensing images
- information fusion
- change detection
- training set
- feature space
- automatically generated
- high resolution
- image analysis
- image processing
- learning algorithm
- test sample
- training data
- hyperspectral
- supervised learning
- satellite images
- image fusion
- remote sensing data
- multiple sources
- high dimensional
- face images
- data sources
- urban areas
- land cover
- satellite data
- multiscale
- database systems
- data mining
- databases
- soft computing
- convex hull
- data integration
- data warehouse
- video sequences
- reinforcement learning
- geographical information systems
- feature extraction
- database