Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images.
Francisco Javier CardamaDora B. HerasFrancisco ArgüelloPublished in: Remote. Sens. (2023)
Keyphrases
- land cover
- change detection
- satellite images
- remotely sensed
- remote sensing
- remotely sensed images
- remote sensing imagery
- multiscale
- remote sensing images
- landsat tm
- satellite imagery
- image registration
- multispectral
- image analysis
- remote sensing data
- edge detection
- land cover change
- supervised classification
- remotely sensed data
- image data
- fully automatic
- hyperspectral
- image regions
- image database
- environmental variables
- data streams
- multispectral images
- climate change
- man made structures
- multiple images
- normalized difference vegetation index
- image fusion
- image processing
- high resolution
- hyperspectral images
- image retrieval
- computer vision
- image segmentation
- gamma distributions
- image classification
- keypoints
- unsupervised learning
- multiresolution
- image pairs
- object recognition
- machine learning
- pattern recognition
- geographic information systems
- urban areas
- quantitative evaluation