The Influence of CLBP Window Size on Urban Vegetation Type Classification Using High Spatial Resolution Satellite Images.
Zhou ChenXianyun FeiXiangwei GaoXiaoxue WangHuimin ZhaoKapo WongJin Yeu TsouYuanzhi ZhangPublished in: Remote. Sens. (2020)
Keyphrases
- satellite images
- high spatial resolution
- remote sensing
- landsat tm
- window size
- remotely sensed
- urban areas
- land cover classification
- multispectral
- change detection
- land cover
- remote sensing images
- satellite imagery
- high resolution
- hyperspectral
- hyperspectral data
- high resolution satellite images
- spatial and temporal resolution
- satellite data
- sliding window
- spatial resolution
- window sizes
- land use change
- image analysis
- pattern recognition
- hyperspectral images
- low spatial resolution
- image processing
- feature extraction
- remotely sensed images
- neural network
- supervised classification
- computer vision
- digital elevation models
- image data
- high quality
- feature vectors
- three dimensional
- hyperspectral imagery
- supervised learning
- machine learning
- space time