Identification of Poverty Areas by Remote Sensing and Machine Learning: A Case Study in Guizhou, Southwest China.
Jian YinYuanhong QiuBin ZhangPublished in: ISPRS Int. J. Geo Inf. (2021)
Keyphrases
- remote sensing
- machine learning
- change detection
- remote sensing images
- multispectral
- image analysis
- high resolution
- remote sensing imagery
- remote sensing data
- image fusion
- satellite imagery
- hyperspectral
- image processing
- economic development
- satellite images
- automatic image registration
- satellite data
- remote sensed images
- hyperspectral imagery
- high spatial resolution
- land cover
- digital image analysis
- remotely sensed imagery
- remotely sensed images
- remotely sensed
- multi spectral images
- urban areas
- hyperspectral images
- pattern recognition
- earth observation
- supervised classification
- remote sensing image processing
- remotely sensed data
- data mining
- weather prediction
- computer vision
- hyperspectral remote sensing
- developing countries
- supervised learning
- earth science
- geographical information systems
- multiscale
- environmental sciences
- computer science
- climate change
- information and communication technologies
- spatial resolution