Improvememt of multi-temporal vegetation modeling using hybrid deep neural networks of multispectral remote sensing images.
Khadidja BakhtiKhelifa DjerririMohammed El Amin ArabiSouleyman ChaibMoussa Sofiane KarouiPublished in: IGARSS (2019)
Keyphrases
- remote sensing images
- multispectral
- remote sensing
- land cover
- neural network
- remote sensing data
- satellite images
- multispectral images
- image data
- urban areas
- remotely sensed images
- change detection
- remotely sensed
- hyperspectral
- marked point processes
- image analysis
- spatial resolution
- landsat tm
- multi spectral images
- remote sensing imagery
- multi band
- high spatial resolution
- image fusion
- pattern recognition
- multispectral satellite images
- satellite imagery
- spectral images
- land cover classification
- wavelet transformation
- spectral features
- hyperspectral images
- remotely sensed data
- landsat etm
- spectral characteristics
- fuzzy logic
- high resolution
- image processing
- multispectral imaging
- hyperspectral imagery
- mutual information
- spectral bands