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随着教育与科技的发展,我国众多高校的课程体系都开设了"遥感图像解译"或"遥感原理与应用"等课程.遥感图像的监督分类,是遥感类课程不可或缺的教学内容.然而,在目前相关课程的实验教学中,存在教学内容陈旧、更新频率较低等问题.为了充实高校遥感类课程的实验教学,本文介绍了一套基于随机森林的遥感图像分类实验教学软件,包括软件开发与相关实验的设计.鉴于随机森林算法在遥感领域得到了广泛应用,本实验教学软件旨在使学生掌握更新的遥感数据处理技能,提升其在相关行业中的竞争力. 相似文献
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利用奇异谱分析法对大坝变形数据进行分析，提取趋势和周期分量，分析影响因子与各变形分量的相关性。结果表明，大坝变形主要与水位变化和时效因子有关，温度变化对大坝变形的周期成分贡献最大，其次为水位。另外在准确提取信号的基础上,利用奇异谱分析迭代法对大坝变形进行预测，并与多元回归分析方法和高斯过程模型进行对比，发现其预测精度明显高于后两者。 相似文献
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科尔沁沙地沙丘-草甸相间地区1986-2013年湖泊演变 总被引：1，自引：1，他引：0
湖泊变化敏感地记录着气候变化的信息。以科尔沁沙地沙丘-草甸相间地区为研究区,利用多时相TM/ETM+遥感影像,基于遥感和GIS技术提取研究区1986-2013年湖泊个数与面积信息,分析其变化规律及空间分异特征。在此基础上,联系降水量、蒸发量等气候要素和以人类活动影响为主的时间因子t,采用多元统计分析方法对研究区湖泊面积进行了模拟分析。结果表明:(1)研究区小型湖泊近30年间面积和个数均发生了不同程度的变化,其变化趋势与降水量呈现很强的正相关,与蒸发量呈较强的负相关,人类活动对小型湖泊面积的影响不太显著,随着时间的推移,研究区湖泊面积趋于萎缩,这种萎缩主要归因于气候的干化;(2)研究区t年湖泊面积At与前一年湖泊面积At-1、t年降水量Pt和蒸发量Et存在较强的相关关系;(3)1986-2013年研究区典型湖泊--王巴哈嘎湖泊总体上呈萎缩状态,但不同方向上既有萎缩也有扩张,Ⅰ、Ⅱ、Ⅴ、Ⅵ区域(以北向为0°,顺时针每45°一个区域,并顺序标记为Ⅰ~Ⅷ区域)萎缩,其他区域扩张,其中以Ⅱ、Ⅲ、Ⅷ、Ⅳ区域为主导变异方向,Ⅵ方向次之,其他方向变化缓滞。研究成果不仅为科尔沁沙地生态系统的健康维持提供技术支撑,对其他同类地区湖泊环境的研究也具有指导作用。 相似文献
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Landform classification is commonly done using topographic altitude only.However,practice indicates that locations at a same altitude may have distinctly different landforms,depending on characteristics of soils underneath those locations.The objectives of this study were to:1) develop a landform classification approach that is based on both altitude and soil characteristic;and 2) use this approach to determine landforms within a watershed located in northern Ordos Plateau of China.Using data collected at 134 out of 200 sampling sites,this study determined that D10(the diameter of soil particles 10% finer by weight) and long-term average soil moisture acquired in 2010,which can be estimated at reasonable accuracy from remote sensing imagery,can be used to represent soil characteristics of the study watershed.Also,the sampling data revealed that this watershed consists of nine classes of landforms,namely mobile dune(MD),mobile semi-mobile dune(SMD),rolling fixed semi-fixed dune(RFD),flat sandy land(FD),grassy sandy land(GS),bedrock(BR),flat sandy bedrock(FSB),valley agricultural land(VA),and swamp and salt lake(SW).A set of logistic regression equations were derived using data collected at the 134 sampling sites and verified using data at the remaining 66 sites.The verification indicated that these equations have moderate classification accuracy(Kappa coefficients > 43%).The results revealed that the dominant classes in the study watershed are FD(36.3%),BR(27.0%),and MD(23.5%),while the other six types of landforms(i.e.,SMD,RFD,GS,FSB,VA,and SW) in combination account for 13.2%.Further,the landforms determined in this study were compared with the classes pre-sented by a geologically-based classification map.The comparison indicated that the geo-logically-based classification could not identify multiple landforms within a class that are de-pendent upon soil characteristics. 相似文献
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