Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis.
Andres Troya-GalvisPierre GançarskiNicolas PassatLaure Berti-ÉquillePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- remote sensing
- image analysis
- remote sensed images
- medical imaging
- change detection
- multispectral
- image segmentation
- remote sensing images
- satellite imagery
- image fusion
- remote sensing imagery
- satellite images
- hyperspectral
- remote sensing data
- pattern recognition
- image processing
- digital image analysis
- visual inspection
- remotely sensed images
- high spatial resolution
- remotely sensed imagery
- land cover
- satellite data
- automatic image registration
- multi spectral images
- medical images
- image interpretation
- geographical information systems
- high resolution
- hyperspectral images
- hyperspectral imagery
- machine learning
- image understanding
- medical image analysis
- computer vision
- hyperspectral data
- earth science
- hyperspectral imaging
- spatial resolution
- remotely sensed data