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ANALYSIS OF THE TRANSFERABILITY OF SUPPORT VECTOR MACHINES FOR VEGETATION CLASSIFICATION
Remote Sensing Mapping Classification Accuracy High resolution Ikonos
2015/12/31
This paper reports on research analysing the potential of Support Vector Machines (SVMs) for mapping vegetation from high spatial resolution Ikonos imagery. The work investigated the utility of SVMs f...
INTEGRATION AND USAGE OF INDICES, FEATURE COMPONENTS AND TOPOGRAPHY IN VEGETATION CLASSIFICATION FOR REGIONAL BIODIVERSITY ASSESSMENT
Remote Sensing Vegetation Classification Accuracy Ecology Spectral
2015/7/29
The classification of vegetation has been an important research subject in botany, ecology, geography, and other disciplines
to map the differences in vegetation types. Classifying vegetation by rem...
COMPARISON OF UNSUPERVISED VEGETATION CLASSIFICATION METHODS FROM VHR IMAGES AFTER SHADOWS REMOVAL BY INNOVATIVE ALGORITHMS
shadow removal classification VHR images
2015/5/7
The recognition of vegetation by the analysis of very high resolution (VHR) aerial images provides meaningful information about environmental features; nevertheless, VHR images frequently contain sh...
Multiple steady-states in the terrestrial atmosphere-biosphere system:a result of a discrete vegetation classification?
Multiple steady-states atmosphere-biosphere system discrete vegetation classification
2010/1/14
Multiple steady states in the atmosphere-biosphere system can arise as a consequence of interactions and positive feedbacks. While atmospheric conditions affect vegetation productivity in terms of ava...