Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery.
Nicholus MbogaStefanos GeorganosTaïs GrippaMoritz LennertSabine VanhuysseEléonore WolffPublished in: Remote. Sens. (2019)
Keyphrases
- remote sensing
- image analysis
- pattern recognition
- change detection
- computer vision
- aerial images
- hyperspectral data
- satellite imagery
- support vector
- classification accuracy
- image processing
- remote sensing images
- classification method
- multispectral
- pattern classification
- classification scheme
- hyperspectral
- text classification
- image classification
- decision trees
- data sets
- statistical classification
- complex networks
- visual inspection
- benchmark datasets
- support vector machine svm
- supervised learning
- high resolution
- feature extraction
- neural network
- line segments
- hough transform
- training samples
- medical images
- hyperspectral images
- remote sensing data
- high quality
- restricted boltzmann machine