Characterizing Uncertainty and Enhancing Utility in Remotely Sensed Land Cover Using Error Matrices Localized in Canonical Correspondence Analysis Ordination Space.
Yue WanJingxiong ZhangWangle ZhangYing ZhangWenjing YangJianxu WangOkafor Somtoochukwu ChukwunonsoAsurapplullige Milani Tharuka NadeekaPublished in: Remote. Sens. (2023)
Keyphrases
- land cover
- remotely sensed
- correspondence analysis
- change detection
- remote sensing
- multispectral
- remotely sensed images
- satellite images
- remote sensing images
- geographic information systems
- supervised classification
- remote sensing data
- remotely sensed data
- satellite imagery
- infrared
- hyperspectral
- databases
- factor analysis
- hyperspectral images
- geospatial data
- neural network
- multispectral images
- image analysis
- data streams
- feature selection
- spatial data
- maximum likelihood
- low dimensional
- urban areas
- training data
- face recognition
- learning algorithm