Sparse-FCM and deep learning for effective classification of land area in multi-spectral satellite images.
Anil B. GavadeVijay S. RajpurohitPublished in: Evol. Intell. (2022)
Keyphrases
- satellite images
- multispectral
- landsat tm
- deep learning
- land cover
- remote sensing
- remotely sensed
- remote sensing images
- multi spectral images
- change detection
- restricted boltzmann machine
- unsupervised learning
- satellite imagery
- hyperspectral
- hyperspectral data
- high resolution
- image data
- high resolution satellite images
- pattern recognition
- image analysis
- image classification
- machine learning
- supervised classification
- remotely sensed images
- feature extraction
- neural network
- multispectral images
- supervised learning
- urban areas
- satellite data
- hyperspectral images
- hyperspectral imagery
- high spatial resolution
- image segmentation
- clustering algorithm
- high dimensional
- mental models
- spectral bands
- decision trees
- text mining
- text classification