This paper proposes a new ARGWishart(Adaptive Region Growing-Wishart) classification algorithm for digital images. It integrates the adaptive region growing algorithm and Wishart maximum likelihood classification algorithm for difficulties that arise from selecting training samples, and instability of the final classification accuracy on PolSAR(Polarimetric Synthetic Aperture Radar) image. At f...

Classical methods for classification of pixels in multispectral images include supervised classifiers such as the maximum-likelihood classifier, neural network classifiers, fuzzy neural networks, support vector machines, and decision trees. Recently, there has been an increase of interest in ensemble learning – a method that generates many classifiers and aggregates their results. Breiman propo...

land cover is one of basic data layers in geographic information system for physical planning and environmentalmonitoring. digital image classification is generally performed to produce land cover maps from remote sensing data,particularly for large areas. in the present study the multispectral image from irs liss-iii image along with ancillary datasuch as vegetation indices, principal componen...

classifying age classes in a large area using remotely sensed data has considerable significance for forest sustainable management. in this research, landsat etm+ data from loveh forest, dating july 2002, were analyzed to investigate the potential of this sensor for age class mapping. we applied a systematic cluster sampling method to collect field data. we used 99 plots so that contained 32 pl...

koopan regional laterites located in north east of shiraz, fars province.the rock strata, koopan laterits set on neyriz ophiolites that these ophiolites are actually part of a series zagros ophiolite with of upper cretaceous age. these laterites are covered with nummulitic limestone equivalent jahrom formation with eocene age. the lateritization should be occurred after the upper cretaceous in ...

conclusions in this study, we proposed a new computer aided diagnostic tool for the detection and classification of breast cancer. the obtained results showed that the proposed method is more reliable in diagnostic to assist the radiologists in the detection of abnormal data and to improve the diagnostic accuracy. results after classification with the ensemble supervised algorithm, the performa...