A hybrid optimization-based deep belief neural network for the classification of vegetation area in multi-spectral satellite image.
Anil B. GavadeVijay S. RajpurohitPublished in: Int. J. Knowl. Based Intell. Eng. Syst. (2020)
Keyphrases
- satellite images
- multispectral
- remotely sensed
- remote sensing
- landsat tm
- land cover
- multi spectral images
- neural network
- change detection
- remote sensing images
- remotely sensed imagery
- hyperspectral
- pattern recognition
- satellite imagery
- remotely sensed images
- spatial resolution
- learning vector quantization
- digital elevation models
- hyperspectral data
- urban areas
- multispectral images
- hyperspectral images
- satellite data
- multi band
- remote sensing data
- high resolution
- image data
- supervised classification
- feature extraction
- image analysis
- google earth
- high resolution satellite images
- high spatial resolution
- image segmentation
- hyperspectral imagery
- infrared
- machine learning
- spectral bands
- computer vision
- supervised learning
- data sets