Semantic segmentation of vegetation images acquired by unmanned aerial vehicles using an ensemble of ConvNets.
Keiller NogueiraJefersson A. dos SantosLeonardo CancianBruno D. BorgesThiago S. F. SilvaLeonor Patricia C. MorellatoRicardo da Silva TorresPublished in: IGARSS (2017)
Keyphrases
- semantic segmentation
- street scenes
- image data
- input image
- image classification
- label transfer
- unmanned aerial vehicles
- image set
- image analysis
- image database
- superpixels
- feed forward
- image understanding
- multiple images
- test images
- remote sensing
- image features
- ground truth
- image matching
- segmentation algorithm
- conditional random fields
- image processing
- object classes
- visual features
- natural images
- information extraction
- object recognition