The remote sensing of nocturnal images from the ISS can contribute to environmental and socioeconomic studies.
Héctor Lamphar CentroGeoPublished in: ENC (2022)
Keyphrases
- remote sensing
- satellite images
- image analysis
- remote sensing imagery
- high spatial resolution
- change detection
- multispectral
- satellite imagery
- remotely sensed images
- remote sensing data
- hyperspectral images
- digital image analysis
- image data
- remotely sensed
- remote sensing images
- high resolution satellite images
- multi spectral images
- high resolution
- hyperspectral
- input image
- image processing
- google earth
- environmental sciences
- satellite data
- multispectral images
- land cover
- image fusion
- hyperspectral imagery
- hyperspectral data
- automatic image registration
- image classification
- pattern recognition
- multiresolution
- climate change
- medical imaging
- spectral data
- neural network
- image registration
- wavelet transform
- lighting conditions
- spectral resolution
- hyperspectral remote sensing
- high quality