Automatic detection of burned areas in wetlands by remote sensing multitemporal images.
Daniel Capella ZanottaHiran ZaniYosio Edemir ShimabukuroPublished in: IGARSS (2013)
Keyphrases
- remote sensing
- automatic detection
- satellite images
- small bowel
- change detection
- remote sensing imagery
- image analysis
- high spatial resolution
- remote sensing images
- remotely sensed images
- multispectral
- remotely sensed
- satellite imagery
- multi spectral images
- digital image analysis
- hyperspectral images
- image processing
- remote sensing data
- high resolution satellite images
- image fusion
- land cover
- hyperspectral
- urban areas
- image features
- image data
- high resolution
- google earth
- image classification
- multispectral images
- medical imaging
- hyperspectral imagery
- lymph nodes
- automatic image registration
- satellite data
- spectral data
- remote sensed images
- digital images
- input image
- wavelet transformation
- pattern recognition
- high quality
- remotely sensed data
- image registration
- spectral bands
- data streams
- spatial resolution
- video data
- neural network
- lighting conditions
- computer graphics