The performance of pixel window algorithms in the classification of habitats using VHSR imagery
Abstract
Abstract is not available.- EUNIS
- habitat classification
- kernel based re-classification
- RBF neural networks
- support vector machines
- Geography, Physical
- Geosciences, Multidisciplinary
- Remote Sensing
- Imaging Science & Photographic Technology
- Ecosystems
- Fuzzy sets
- Image sensors
- Neural networks
- Vectors
- Habitat classification
- Kernel based re-classification
- Support vector machines
- Algorithms
- algorithm
- artificial neural network
- classification
- habitat structure
- mapping
- satellite imagery
- spatial resolution
- wetland
- Central Macedonia
- Eurasia
- Europe
- Greece
- Kerkini Lake
- Macedonia [Greece]
- Serrai
- Southern Europe
- EUNIS
- habitat classification
- kernel based re-classification
- RBF neural networks
- support vector machines
- Geography, Physical
- Geosciences, Multidisciplinary
- Remote Sensing
- Imaging Science & Photographic Technology
- Ecosystems
- Fuzzy sets
- Image sensors
- Neural networks
- Vectors
- EUNIS
- Habitat classification
- Kernel based re-classification
- RBF neural networks
- Support vector machines
- Algorithms
- algorithm
- artificial neural network
- classification
- habitat structure
- mapping
- satellite imagery
- spatial resolution
- wetland
- Central Macedonia
- Eurasia
- Europe
- Greece
- Kerkini Lake
- Macedonia [Greece]
- Serrai
- Southern Europe
Similar works
Full text
Last time updated on 03/06/2016
This paper was published in DSpace@NTUA (National Technical Univ. of Athens).
Having an issue?
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.