A Machine Learning-Based Regional Hybrid Model for Remote Retrieving Turbidity From Landsat Imagery.
Anas El-AlemKarem ChokmaniPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- hybrid model
- machine learning
- satellite imagery
- thematic mapper
- artificial neural networks
- supervised classification
- remote sensing data
- support vector regression
- multispectral
- computer vision
- satellite images
- back propagation neural network
- support vector machine
- hybrid models
- support vector machine svm
- machine learning methods
- information retrieval
- high resolution
- image data
- machine learning algorithms
- change detection
- learning algorithm
- data sets
- forecasting accuracy
- pattern recognition
- data mining
- image processing
- natural language processing
- similarity measure
- real time
- multispectral images
- water quality
- water treatment
- remote sensing images
- unsupervised learning
- text mining
- information extraction
- high dimensional
- decision trees
- genetic algorithm