Relative radiometric correction on remotely sensed data for land cover change detection: an unsupervised clustering approach.
Maria Luiza F. VellosoFlávio Joaquim de SouzaNival Nunes de AlmeidaPublished in: IGARSS (2003)
Keyphrases
- land cover
- remotely sensed data
- change detection
- supervised classification
- remote sensing images
- remote sensing
- remotely sensed images
- remotely sensed
- remote sensing imagery
- remote sensing data
- land cover change
- satellite images
- satellite imagery
- supervised learning
- data streams
- image registration
- multispectral
- geographic information systems
- unsupervised learning
- climate change
- data mining
- clustering method
- machine learning
- earth science
- k means
- pairwise
- feature selection