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本科毕业论文题目：高分辨率遥感影像中建筑物阴影检测与提取研究院（部）：土木工程学院专业：测绘工程班级：测绘081姓名：!@#$%^&*学号：1234567890指导教师：(!@#$%^&)完成日期：2012年6月10日山东建筑大学毕业论文I目录摘要......................................................................................................................................IIIABSTRACT.................................................................................................................................IV1前言......................................................................................................................................11.1研究背景.........................................................................................................................11.2研究目地及意义.............................................................................................................11.3国内外研究的现状及发展.............................................................................................11.4本文的研究内容及目标.................................................................................................22遥感影像阴影特征与面向对象的提取原理..............................................................42.1建筑物阴影的特点.........................................................................................................42.2建筑物阴影的光学性质.................................................................................................42.3高分辨率遥感影像的特点.............................................................................................52.4面向对象的阴影检测与提取原理分析.........................................................................63遥感影像的预处理.............................................................................................................73.1齐鲁软件园遥感影像的几何校正.................................................................................73.2软件园影像的分割.........................................................................................................84ECOGNITION8.0对遥感影像进行面向对象的矢量化处理................................114.1加载齐鲁软件园预处理后的遥感影像........................................................................124.2分别对每个子影像进行CHESSBOARD棋盘分割.............................................................134.3根据阴影的光学特性添加各种算法...........................................................................144.4分别对子影像进行多尺度分割....................................................................................154.5数据的导出...................................................................................................................18山东建筑大学毕业论文II5ARCGIS9.2对矢量化数据进行编辑处理.................................................................195.1加载子影像及矢量化数据............................................................................................195.2属性表中添加地类名称和面积两字段........................................................................205.3添加规则集分类提取建筑物阴影...............................................................................215.4难以提取部分采取人机交互方式提取........................................................................255.5对提取完成的各矢量数据MERGE合并到同一图层.....................................................275.6对数据进行最后编辑修改后测算阴影部分面积........................................................295.7数据整理保存................................................................................................................316结论.................................................................................................................................33谢辞.....................................................................................................................................34参考文献.................................................................................................................................35山东建筑大学毕业论文III摘要近年来，高分辨率遥感影像在城市环境、精准农业、交通设施、林业测量、军事目标识别和灾害评估等人类日常生活中扮演了越来越重要的角色。它们的特点是细节信息极为丰富，但是如何快速、自动识别和提取影像信息，使遥感技术应用的深度和精度得以提高面临新的挑战。阴影是遥感影像中普遍存在的问题。高分辨率卫星的高度相对较低，阴影更是高分辨率遥感影像的基本特征之一。阴影的检测对于影像的目标识别以及信息恢复十分关键。本文以提取齐鲁软件园高分辨率遥感影像上建筑物阴影研究目标。采用面向对象的技术，通过图像分割，获取阴影对象，结合阴影对象的特征，设置特征函数并分类，最后获得阴影区域。试验证明，该方法简单易行，较精确地提取了阴影区域。关键词关键词关键词关键词:遥感影像；阴影；阴影检测；面向对象；纹理特征山东建筑大学毕业论文IVTheTheTheThestudystudystudystudyofofofofbuildingsbuildingsbuildingsbuildingssssshadowhadowhadowhadowDetectionDetectionDetectionDetectionandandandandExtractionExtractionExtractionExtractionBasedBasedBasedBasedononononHighHighHighHighSpatialSpatialSpatialSpatialResolutionResolutionResolutionResolutionRemoteRemoteRemoteRemoteSenseSenseSenseSenseImageImageImageImageABSTRACTHigh-resolutionsatelliteimageshaveplayedamoreimportantroleinourlifeinrecentyears，suchaswecanextractmoredetailedinformationonurbanenvironment，precisionagriculture，trafficfacilityandmilitarytargetfromhighresolutionimages．Thoughhighresolutionremotesensingimagesprovideusricherinformationofsurfacetargets，howtoidentifyandextractfeaturesfromtheseimagesautomaticallyandquicklyhasbeenabigchallenge．Shadowisausualprobleminremotesensingimages，whichblockspartofthesurfaceinformation．itisparticularlyobviousinhighspatialresolutionsatelliteimagery．Shadowdetectioninhighspatialresolutionremoteimageisverycriticalfortargetidentificationandinformationrecovering.Inthisthe