面向对象的复杂地形区土地利用信息提取研究——以湟水流域为例

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1、extraction,theseresultscanbegotten;theobject-orientedremotesensingimageclassificationmethodimprovestheefficiencyandprecisionoftheclassificationgreatly,andthisclassificationmethodhasagreatadvantageformediumresolutionOLIimage.Theobject-orientedclassificationmethodcandeterminethevariousclassificatio

2、nfeaturesthroughthecalculationandstatisticsoftypicalimageobjectspectrum,shape,texture,andcustomfeaturesaccordingtothecharacteristicsoftheimageitselfandtheextractionoftargetcharacteristics.Furthermore,itcanmakefulluseofallkindsoffeaturesofobjectsandtherelationshipsbetweenobjectclassesanddifferentl

3、evels,andalsocanbeintroducedtotheprojectdatarelatedtothelandcategorieswhicharegoingtobeextracted,suchasNDVI,NDBI,MNDWI,DEM,Slope,andsoon.Theintroductionofrelatedauxiliarydatalayeraccordingtothedistributionfeaturesofthebaseclassmakestheclassificationmoreflexible,andatthesametimefurtherimprovesthea

4、ccuracyofextraction,especiallyinthecomplexterrainofstudyareas.Keywords:Landuseinformationextraction;object-orientedclassification;supportvectormachine(SVM);theHuangshuiriverBasin;thecomplicatedterrainregions;V万方数据目录摘要................................................................IAbstract.......

5、...................................................III第一章绪论.........................................................11.1研究背景与意义..............................................11.2国内外研究现状及发展趋势....................................21.2.1目视解译法.............................................31.2.2基于像元的分类方法.

6、....................................41.2.3面向对象的分类方法.....................................51.3研究目标与研究内容..........................................61.4技术路线与论文框架..........................................71.4.1技术路线...............................................71.4.2论文框架................................

7、...............91.5研究特色、创新与难点........................................91.5.1研究特色与创新.........................................91.5.2研究难点..............................................10第二章面向对象的土地信息提取方法.....................