Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network.
J. JagannathanC. DivyaPublished in: Ecol. Informatics (2021)
Keyphrases
- deep learning
- land cover
- land cover classification
- convolutional neural network
- supervised classification
- unsupervised learning
- multispectral
- remote sensing
- change detection
- machine learning
- remote sensing images
- satellite images
- restricted boltzmann machine
- unsupervised feature learning
- remote sensing data
- supervised learning
- pattern recognition
- landsat tm
- support vector machine
- urban growth
- neural network
- deep architectures
- deep belief networks
- geographic information systems
- training set
- hyperspectral
- text classification
- feature extraction
- data mining
- learning algorithm
- data sets
- computer vision
- feature selection
- weakly supervised
- principal component analysis
- image analysis
- probabilistic model
- face detection
- image classification