isprs archives XLI B7 593 2016
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Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach, International
The Mean-standard-deviation (MS) Large membership function is used because the large amounts of land and ocean pixels dominate the SAR image with large mean and standard
relative variable importance provided by the machine learning approaches, data from the planting season (typically in May for paddy rice) had the largest contribution to
Two main processes were involved: (1) automatic extraction of building roofs using the integration of LiDAR data and aerial imagery in order to derive its’ outline and areal
A., Zilberstien, O., Trachtenberg, N., 2015, Advanced mapping process for automatic updating National Topographic Data Base based on change detection. Israeli Land
The identification of the same boulder at two different epochs that allows to perform automatic 3D or even 2D matching may be The International Archives of
(2010) proposed a region-based approach for SAR image segmentation based on Voronoi tessellation, Bayesian inference and Reversible Jump Markov Chain Monte Carlo (RJMCMC)
The experiments performed and discussed in the paper let us evaluate the effective contribution of texture information, and compare the most suitable vector components and metrics
