Classification of inland lake water quality levels based on Sentinel-2 images using convolutional neural networks and spatiotemporal variation and driving factors of algal bloom.
Haobin MengJing ZhangZhen ZhengYongyu SongYuequn LaiPublished in: Ecol. Informatics (2024)
Keyphrases
- water quality
- image classification
- quality management
- convolutional neural networks
- image data
- measured data
- suzhou river
- water treatment
- image features
- image database
- image retrieval
- convolutional network
- feature extraction
- three dimensional
- feature vectors
- image analysis
- input image
- grey relational analysis
- water level
- support vector machine svm
- fault diagnosis
- edge detection
- test images
- decision trees
- object recognition
- thematic mapper
- support vector machine
- gabor filters
- satellite images
- image set
- neural network
- water resources
- skin lesion
- image registration
- classification accuracy
- feature space
- training data
- space time