Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress.
Stephanie DelalieuxPablo J. Zarco-TejadaLaurent TitsMiguel Ángel Jiménez-BelloDiego S. IntriglioloBen SomersPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- early detection
- hyperspectral
- remotely sensed
- remote sensing
- hyperspectral data
- image fusion
- remote sensing data
- satellite imagery
- hyperspectral images
- multispectral
- high resolution
- infrared
- change detection
- hyperspectral imagery
- satellite images
- target detection
- lung cancer
- multi sensor
- remote sensing images
- hyperspectral imaging
- image data
- breast cancer
- pixel classification
- land cover
- automatic diagnosis
- spectral bands
- hyperspectral image classification
- fusion method
- spatial resolution
- hyperspectral remote sensing
- data fusion
- image processing
- multi band
- spectral data
- skin cancer
- image analysis
- information content
- reflectance spectra
- remotely sensed images