Comparison of Neural Network and Maximum Likelihood High Resolution Image Classification for Weed Detection in Crops: Applications in Precision Agriculture.
Peter R. EddyAnne M. SmithBernard D. HillDerek R. PeddleCraig A. CoburnRobert E. BlackshawPublished in: IGARSS (2006)
Keyphrases
- image classification
- maximum likelihood
- neural network
- high resolution
- precision agriculture
- low resolution
- high frequency
- back propagation
- remote sensing
- detection method
- image representation
- super resolution
- image processing
- feature extraction
- automatic detection
- detection rate
- neural network model
- bag of words
- high quality
- detection algorithm
- lidar data
- artificial neural networks
- image features
- class specific
- likelihood function
- false alarms
- bp neural network
- sparse coding
- data mining
- genetic algorithm
- pattern recognition
- visual words
- maximum a posteriori
- recurrent neural networks
- prediction model
- associative memory
- change detection
- face detection
- anomaly detection
- fuzzy logic