National-Standards- and Deep-Learning-Oriented Raster and Vector Benchmark Dataset (RVBD) for Land-Use/Land-Cover Mapping in the Yangtze River Basin.
Pengfei ZhangYijin WuChang LiRenhua LiHe YaoYong ZhangGenlin ZhangDehua LiPublished in: Remote. Sens. (2023)
Keyphrases
- land cover
- benchmark datasets
- deep learning
- yangtze river
- remote sensing
- multispectral
- change detection
- remote sensing images
- unsupervised learning
- supervised classification
- land cover classification
- satellite images
- urban growth
- remote sensing data
- machine learning
- geographic information systems
- satellite data
- urban areas
- mental models
- image processing
- weakly supervised
- geospatial data
- superpixels
- dimensionality reduction
- feature vectors
- data streams
- pattern recognition