FireClassNet: a deep convolutional neural network approach for PJF fire images classification.
Zeineb DaoudAmal Ben HamidaChokri Ben AmarPublished in: Neural Comput. Appl. (2023)
Keyphrases
- convolutional neural network
- image classification
- input image
- ground truth
- image data
- object recognition
- image analysis
- image database
- three dimensional
- image collections
- image features
- feature extraction
- correct classification rate
- classification accuracy
- unsupervised learning
- edge detection
- text classification
- test images
- image set
- segmentation method
- image regions
- feature representation
- image registration
- support vector machine
- feature vectors
- image retrieval
- pattern recognition
- satellite images
- preprocessing stage
- thematic mapper
- high resolution computed tomography
- region of interest
- feature selection
- feature space
- classification algorithm
- lighting conditions
- segmentation algorithm
- image annotation
- support vector machine svm
- feature set
- extracted features
- supervised learning
- multiresolution
- support vector
- decision trees
- pigmented skin lesions
- machine learning