Remote Sensing of Turbidity for Lakes in Northeast China Using Sentinel-2 Images With Machine Learning Algorithms.
Yue MaKaishan SongZhidan WenGe LiuYingxin ShangLili LyuJia DuQian YangSijia LiHui TaoJunbin HouPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- machine learning models
- machine learning algorithms
- remote sensing
- satellite images
- remote sensing imagery
- image analysis
- satellite data
- high spatial resolution
- multispectral
- satellite imagery
- change detection
- remote sensing data
- hyperspectral images
- remotely sensed
- benchmark data sets
- remote sensing images
- high resolution satellite images
- digital image analysis
- machine learning
- learning algorithm
- high resolution
- hyperspectral
- remotely sensed images
- decision trees
- google earth
- multi spectral images
- image processing
- multispectral images
- input image
- image registration
- machine learning methods
- image data
- image features
- automatic image registration
- remote sensed images
- land cover
- hyperspectral imagery
- wavelet transformation
- computer graphics
- real world
- image fusion
- hyperspectral remote sensing
- climate change
- computer vision
- human skin
- urban areas
- lighting conditions