简介：ThereisdifficultyfordistinguishingofriverandshadowinSyntheticApertureRadar(SAR)images.AmethodofriversegmentationinSARimagesbasedonwaveletenergyandgradientisproposedinthispaper.Itmainlyincludestwoalgorithms:coarsesegmentationandrefinedsegmen-tation.Firstly,Theriverregionsarecoarselysegmentedbythewaveletenergyfeature,andthenrefinedsegmentedaccuratelybythegradientthresholdwhichisgotadaptively.Theexperimentalresultsshowthevalidityofthemethod,whichprovidesagoodfoundationfortargetsdetectionabovetheriver.

简介：MainstreamlineissignificantfortheYellowRiversituationforecastingandfloodcontrol.Aneffectivestatisticalfeatureextractionmethodisproposedinthispaper.Inthismethod,abetween-classscatteringmatrixbasedprojectionalgorithmisperformedtomaximizebetween-classdifferences,obtainingeffectivecomponentforclassification;thenhigh-orderstatisticsareutilizedasthefeaturestodescribethemainstreamlineintheprincipalcomponentobtained.Experimentsareperformedtoverifytheapplicabilityofthealgorithm.TheresultsbothonsynthesizedandrealscenesindicatethatthisapproachcouldextractthemainstreamlineoftheYellowRiverautomatically,andhasahighprecisioninmainstreamlinedetection.