A Hierarchical Clustering Method for Land Cover Change Detection and Identification.
Tuomas HämeLaura SirroJorma KilpiLauri SeitsonenKaj AnderssonTimo MelkasPublished in: Remote. Sens. (2020)
Keyphrases
- clustering method
- change detection
- land cover
- hierarchical clustering
- remote sensing images
- remote sensing
- land cover change
- remotely sensed images
- remote sensing imagery
- remote sensing data
- satellite images
- remotely sensed
- cluster analysis
- satellite imagery
- image registration
- clustering algorithm
- similarity measure
- remotely sensed data
- data streams
- multispectral
- landsat tm
- k means
- computer vision
- earth science
- climate change
- neural network
- gamma distributions
- image segmentation
- image sequences
- image analysis
- data sets
- unsupervised learning