Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine.
Shobitha ShettyPrasun Kumar GuptaMariana BelgiuS. K. SrivastavPublished in: Remote. Sens. (2021)
Keyphrases
- remote sensing data
- land cover
- remote sensing
- supervised classification
- satellite images
- multispectral
- land cover classification
- machine learning
- google earth
- remote sensing images
- change detection
- remotely sensed data
- training set
- supervised learning
- satellite imagery
- satellite data
- active learning
- feature selection
- training data
- geographic information systems
- hyperspectral
- text classification
- image data
- urban areas
- high quality
- video sequences
- model selection
- high resolution
- database