Fractal Theory Based Stratified Sampling for Quality Assessment of Remote-Sensing-Derived Geospatial Data.
Yao LuHuan XieJixian ZhangYanmin JinYongjiu FengYali GongWenli HanHe ZhangXiaohua TongPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2023)
Keyphrases
- quality assessment
- remote sensing
- geospatial data
- earth science
- remotely sensed
- remotely sensed data
- geographical information systems
- stratified sampling
- multispectral
- change detection
- remote sensing images
- spatial data
- image and video processing
- image analysis
- high resolution
- land cover
- image quality
- data processing
- satellite imagery
- hyperspectral
- data collection
- remote sensing data
- image processing
- human visual system
- satellite images
- remotely sensed images
- multiple sources
- random sampling
- data management
- geospatial information
- hyperspectral images
- data sources
- visual quality
- data quality
- heterogeneous data
- wavelet transform
- database
- image classification
- wireless sensor networks
- data analysis
- feature selection
- data sets