Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images.
Emma TurkulainenEija HonkavaaraRoope NäsiRaquel Alves OliveiraTeemu HakalaSamuli JunttilaKirsi KarilaNiko KoivumäkiMikko Pelto-ArvoJohanna TuvialaMadeleine ÖstersundIlkka PölönenPäivi Lyytikäinen-SaarenmaaPublished in: Remote. Sens. (2023)
Keyphrases
- neural network
- image classification
- pattern recognition
- image analysis
- image data
- image collections
- image database
- input image
- three dimensional
- object recognition
- feature extraction
- image registration
- hyperspectral images
- decision trees
- classification accuracy
- ground truth
- image features
- classification method
- image set
- feature selection
- edge detection
- training process
- feature maps
- preprocessing stage
- fractal dimension
- pigmented skin lesions
- region of interest
- thematic mapper
- image regions
- visual features
- feature space
- learning algorithm
- image matching
- test images
- text classification
- fuzzy logic
- d objects
- artificial neural networks
- training set
- rule extraction
- handwritten digits
- neural networks and support vector machines
- similarity measure