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Hyperion高光谱数据在蚀变矿物填图方面已广泛应用,而在岩性信息提取方面应用较少.本文以河北滦平地区的Hyperion高光谱数据为数据源,通过对预处理后的Hyperion数据进行最小噪声分离变换(MNF),计算纯净像元指数(PPI),N维光谱空间特征端元采集,结合野外光谱采集进行光谱分析识别端元,最后用光谱角(SAM),光谱信息散度(SID)和二值编码(BE)3种方法进行岩性分类.与已知地质图叠加,通过分类图中不同岩石类型颜色边界与地质图岩性界线吻合程度以及与研究区地质解译分类图的对比来比较3种分类方法.结果表明,SAM方法的分类吻合程度高于其他两种方法,SAM方法是一种有效的高光谱遥感岩性分类方法. 相似文献
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针对高光谱数据维数高,波段间冗余信息大的问题,提出一种基于同质性降维和组合匹配追踪算法的高光谱图像分类方法。该方法首先利用均值漂移算法对高光谱图像进行分割得到同质性图像块,对同质性的图像块进行流行学习得到降维映射函数,然后由降维后的高光谱数据训练稀疏最小二乘支持向量机分类模型,为避免正交匹配追踪稀疏重构算法迭代次数多的缺点,提出一种基于组合匹配追踪的稀疏重构求解方法。通过高光谱数据的分类结果可以得出,该方法有效提高了高光谱图像的分类精度。 相似文献
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基于HJ-1A高光谱数据的藏北高原草地分类方法对比 总被引:2,自引:0,他引:2
环境减灾星星座A星(HJ-1A)携带的超光谱仪填补了我国星载高光谱影像采集领域的空白,但目前国内关于该高光谱数据的应用较少.本文基于HJ-1A高光谱(HSI)数据预处理技术,以申扎县北部为研究区,采用SPCA-MLC和HSI-SAM分类方法,结合野外实测样本,将研究区分为沼泽草甸、高寒草甸、高寒草原、荒漠化草原和裸地5种类型,并结合分类精度和分类图对2种分类方法进行了对比分析,可得基于HJ-1A高光谱数据的藏北高原草地分类方法中SPCA-MLC法优于HSI-SAM法.2种方法的分类精度皆大于80%,证明了HJ-1A的HSI数据在实现藏北草地高精度分类方面的巨大潜力. 相似文献
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目的 随着高光谱成像技术的飞速发展,高光谱数据的应用越来越广泛,各场景高光谱图像的应用对高精度详细标注的需求也越来越旺盛。现有高光谱分类模型的发展大多集中于有监督学习,大多数方法都在单个高光谱数据立方中进行训练和评估。由于不同高光谱数据采集场景不同且地物类别不一致,已训练好的模型并不能直接迁移至新的数据集得到可靠标注,这也限制了高光谱图像分类模型的进一步发展。本文提出跨数据集对高光谱分类模型进行训练和评估的模式。方法 受零样本学习的启发,本文引入高光谱类别标签的语义信息,拟通过将不同数据集的原始数据及标签信息分别映射至同一特征空间以建立已知类别和未知类别的关联,再通过将训练数据集的两部分特征映射至统一的嵌入空间学习高光谱图像视觉特征和类别标签语义特征的对应关系,即可将该对应关系应用于测试数据集进行标签推理。结果 实验在一对同传感器采集的数据集上完成,比较分析了语义—视觉特征映射和视觉—语义特征映射方向,对比了5种基于零样本学习的特征映射方法,在高光谱图像分类任务中实现了对分类模型在不同数据集上的训练和评估。结论 实验结果表明,本文提出的基于零样本学习的高光谱分类模型可以实现跨数据集对分类模型进行训练和评估,在高光谱图像分类任务中具有一定的发展潜力。 相似文献
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为了改善传统岩性分类方法中对光谱局部细节特征分析不足的问题,在光谱角分类模型的基础上,有效地融合地物的光谱特征参量,提出了一种新型的光谱角和光谱特征参量(Spectral Angle Mapper-Spectral Characteristic Parameters,SAM-SCP)组合的分类方法。该方法既体现了光谱的形状特征,又能够充分利用光谱的细节特征,解决由于岩性光谱曲线形状相似而识别效果差的问题,提高了分类精度。应用SAM-SCP分别对模拟热红外高光谱数据与真实热红外高光谱数据进行实验,并在SCP的设定过程中,调整主要谷、次要谷所占的权重以获得最佳的分类效果,最终的结果证明:SAM-SCP能对热红外高光谱影像进行有效的岩性分类,分类结果优于传统分类方法。 相似文献
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提出了一种新型的具有良好特性的支持向量机--全间隔自适应模糊支持向量机(TAFSVM),并提出一种新的遗传算法--智能遗传算法(IGA)来设计一个TAFSVM分类器,称为ETAFSVM,同时优化高光谱遥感图像自动波段选择和TAFSVM参数集,并且结合5-fold交叉验证来确定其泛化能力,最后将ETAFSVM应用于高光谱遥感图像数据.通过先进行自适应波段选择后再用径向基神经网络分类器、K-最近邻分类器和标准支持向量机等3种方法进行全部分类精度比较,以及与这3种方法直接进行类别分类精度和平均分类精度比较,其结果表明运用ETAFSVM不仅可以自动进行波段选择,而且分类精度较高,对Hughes现象敏感性较低,是进行高光谱遥感图像分类的一种有效方法. 相似文献
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在对高光谱图像监督分类中, 传统的监督学习方法对高光谱数据进行分类时需要获取足够的有标记样本作为训练样本, 这样可以有效的避免Hughes效应. 实际情况下的高光谱数据拥有较多的波段和相对较小的训练样本集给传统的遥感图像分类方法带来了挑战. 因此, 提出了一种基于特征组合以及特征加权的高光谱图像分类算法, 针对纹理特征分析难度较大的现实, 利用一阶直方图的统计特征描述图像纹理特征, 通过类内散度矩阵的逆矩阵作为特征加权矩阵构造组合核函数将高光谱光谱特征和空间特征融合起来, 同时利用特征加权的方法用于提高小训练样本的监督分类精度. 实验结果表明, 本文所提的方法对小样本的高光谱数据分类具有良好的效果. 相似文献
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基于拉普拉斯特征映射高光谱遥感影像降维及其分类 总被引:1,自引:0,他引:1
在进行高光谱遥感影像监督分类过程中,结合高光谱数据非线性的特点和流形学习强大的非线性处理能力,提出一种基于拉普拉斯特征映射(LE)降维和最佳指数法(OIF)波段组合选择训练样本进行SVM分类的策略,首先对高光谱遥感影像波段进行优化,利用拉普拉斯特征映射法(LE)对波段优选后的影像进行降维,利用OIF选择波段组合叠加进行训练样本选择。在此基础上采用支持向量机(SVM)进行分类处理,取得了优于PCA的效果。实验证明了流形学习是一种行之有效的高光谱遥感数据特征提取方法。 相似文献
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卷积神经网络(CNN)具有强大的特征提取能力,能够有效地提高高光谱图像的分类精度.然而CNN模型训练需要大量的训练样本参与,以防止过拟合,Gabor滤波器以非监督的方式提取图像的边缘和纹理等空间信息,能够减轻CNN模型对训练样本的依赖度及特征提取的压力.为了充分利用CNN和Gabor滤波器的优势,提出了一种双通道CNN和三维Gabor滤波器相结合的高光谱图像分类方法Gabor-DC-CNN.首先利用二维卷积神经网络(2D-CNN)模型处理原始高光谱图像数据,提取图像的深层空间特征;同时利用一维卷积神经网络(1D-CNN)模型处理三维Gabor特征数据,进一步提取图像的深层光谱-纹理特征.连接2个CNN模型的全连接层实现特征融合,并将融合特征输入到分类层中完成分类.实验结果表明,该方法能够有效地提高分类精度,在Indian Pines,Pavia University和Kennedy Space Center 3组数据上分别达到98.95%,99.56%和99.67%. 相似文献
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S. Shaw 《Journal of Computer Assisted Learning》1993,9(2):93-99
Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained. 相似文献
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European Community policy and the market 总被引:1,自引:0,他引:1
C. Lloyd 《Journal of Computer Assisted Learning》1993,9(2):86-91
Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven. 相似文献
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融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。 相似文献
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Wayne O’Brien Author Vitae 《Journal of Systems and Software》2008,81(11):1997-2013
Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them. 相似文献
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This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives. 相似文献
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Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what
is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic
sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and
its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of
an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify
robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can
or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest.
This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January
31–February 2, 2008 相似文献
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David Poole 《Computational Intelligence》1989,5(2):97-110
Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given. 相似文献
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Watts S. Humphrey 《Annals of Software Engineering》2002,14(1-4):39-72
This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)SM and Team Software Process (TSP){SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical. 相似文献
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基于复小波噪声方差显著修正的SAR图像去噪 总被引:4,自引:1,他引:3
提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。 相似文献
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R. NOSS 《Journal of Computer Assisted Learning》1987,3(1):2-12
Abstract This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development. 相似文献