Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery.
Xin HuangCong XieXing FangLiangpei ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- remote sensing imagery
- remote sensing
- high resolution
- machine learning
- change detection
- spectral characteristics
- remote sensing images
- multispectral
- low resolution
- satellite images
- hyperspectral
- wavelet transformation
- image analysis
- pattern recognition
- land cover
- remote sensing data
- computer vision
- databases
- image processing
- super resolution
- urban areas
- multispectral images
- learning algorithm
- spatial resolution
- hyperspectral images
- man made
- data sets
- high quality
- supervised learning