Kalman filtering as a multilayer perceptron training algorithm for detecting changes in remotely sensed imagery.
Youcef ChibaniHassiba NemmourPublished in: IGARSS (2003)
Keyphrases
- training algorithm
- multilayer perceptron
- kalman filtering
- remotely sensed imagery
- back propagation
- neural network
- hidden layer
- kalman filter
- artificial neural networks
- satellite images
- feed forward
- bp neural network
- activation function
- remote sensing
- particle filtering
- radial basis function
- learning algorithm
- neural nets
- neural network model
- multi frame
- pattern recognition
- fuzzy logic
- rbf neural network
- machine learning
- reinforcement learning
- computer vision
- support vector machine
- search space
- learning rate
- training process
- expert systems
- feature space
- support vector
- high quality
- data mining
- real time