COSMO-SkyMed for Unsupervised Urban Change Detection using Radar Backscattering and Interferometric Coherence.
Alessia BenedettiMatteo PicchianiDaniele LatiniFabio Del FrateGiovanni SchiavonPublished in: IGARSS (2019)
Keyphrases
- change detection
- remotely sensed
- remote sensing
- remote sensing images
- urban areas
- remotely sensed images
- satellite images
- sar imaging
- data streams
- remote sensing imagery
- radar images
- land cover
- satellite imagery
- land cover change
- sar imagery
- synthetic aperture radar
- unsupervised learning
- semi supervised
- supervised classification
- man made structures
- target recognition
- inverse synthetic aperture radar
- machine learning
- frame difference
- gamma distributions
- image reconstruction
- automatic target recognition
- supervised learning
- remotely sensed data
- urban environments
- data sets
- image processing
- neural network