基于模糊Hopfield神经网络的大气降水粒子分类     

韦一  佘勇  王贤勤 《成都信息工程学院学报》2007,22(5):569-572

提出基于模糊Hopfield神经网络的大气降水粒子分类,它是通过计算样本间的模糊关系的相似程度,再加上Hopfield网络所特有的高稳定性,对大气降水粒子进行分类.通过对各降水粒子所对应雷达回波数据的分析,验证了方法的可行性.  相似文献   

基于影像多种特征的决策树分类方法   总被引：1，自引：0，他引：1  

闫利  孙颖超 《地理空间信息》2009,7(6):15-17

阐述了决策树分类CART算法原理,将纹理信息、NDVI指数引入决策树方法对影像进行分类,并将分类结果与最大似然分类结果进行比较,研究表明决策树分类方法相对传统分类方法总体精度提高了8.9148%,Kappa系数提高了0.1074。  相似文献   

CBERS-02B星数据融合方法评价   总被引：2，自引：0，他引：2  

于海洋  甘甫平  邱振戈 《国土资源遥感》2009,20(1):64-68

CBERS—02B星(以下简称02B星)多光谱CCD数据与全色HR数据空间分辨率相差较大，给图像融合带来一定困难。在对IHS变换、主成分分析变换、Brovey 变换、GS变换等融合算法分析的基础上，利用02B星数据进行了融合试验。通过对试验结果的目视评价与定量分析发现，PC变换和GS变换方法融合图像纹理信息较清晰，光谱保真度较好。在GS变换融合中，可利用02B星CCD相机第5波段模拟GS变换的低分辨率输入，融合结果统计值优于PC变换。  相似文献   

无惩罚系数SVM高光谱影像分类算法研究     

沈照庆  舒宁  陶建斌  刘玲 《测绘通报》2009,(6)

惩罚系数是支持向量机(SVM)机器学习中的一个重要参数,它的设置对分类结果有很大影响。但它没有规律可循,高光谱影像数据量大、数据复杂,为其选择合适的惩罚系数非常困难。提出无惩罚系数的SVM算法,利用最近点算法(NPA)计算二分类,对错分数据不设惩罚系数,而是对其重新构造凸集,计算最优超平面,迭代循环直到错分率达到所设的阈值为止。此算法简化了计算过程,降低了误分率。最后用AVIRIS高光谱影像进行实验,实验效果显示,本算法的分类精度和速度都得到很大提高。  相似文献   

未知DEM下的机载SAR图像几何校正方法研究     

卜彦龙  潘亮  彭辉  沈林成 《测绘学报》2009,38(1)

针对机载环境复杂,不确定因素众多,与图像相对应的DEM不能精确获得等影响校正的不利因素,研究基于先验条件而不依赖DEM的机载SAR图像几何校正方法.从产生畸变的原理和校正过程的本质出发,将不同的几何校正理论在成像原理层面进行统一;在此基础上,分析精确校正所需要的条件,并提出当条件不能满足时的基于统计模型的几何校正方法;继而提出基于不同先验条件的校正方案决策模型.仿真实验及基于配准区域的保真度评价结果验证了所提方法的有效性.  相似文献   

柴达木盆地烃蚀变矿物高光谱遥感识别研究   总被引：2，自引：0，他引：2  

胡畔  田庆久  闫柏琨 《国土资源遥感》2009,(2):54-61

高光谱遥感识别烃蚀变矿物可用于探测油气烃类微渗漏和定位地下油气藏.以有天然气分布的柴达木盆地东部三湖地区为研究区,对Hyperion高光谱数据进行重采样处理,克服了目标识别矿物不明显和传感器低信噪比的影响.通过确定烃蚀变矿物高光谱遥感探测的指示标志,采用线性光谱(SAM)拟合与光谱匹配(SAM)相结合的方法确定了影像端元对应的矿物组分.识别结果表明,合理缩减影像波段数和确定影像端元的方法,能有效提高烃蚀变矿物的高光谱遥感识别精度.  相似文献   

CBERS-02B星数据在“5·12”地震灾害监测中的应用——以唐家山堰塞湖动态监测为例     

王志一  甘甫平  李贤庆  孙瑜  王振坤 《国土资源遥感》2009,(1)

利用CBERS-02B星获取的多时相CCD数据，采用人机交互方式对唐家山堰塞湖进行水体信息提取，对湖泊面积变化进行统计分析，从而了解湖面的动态变化及发展趋势，为地质灾情评估与灾害防治提供了定量化依据。  相似文献   

Alternative Fuzzy Cluster segmentation of remote sensing images based on Adaptive Genetic Algorithm     

Jing Wang  Jilong Tang  Jibin Liu  Chunying Ren  Xiangnan Liu  Jiang Feng 《中国地理科学(英文版)》2009,19(1):83-88

Remote sensing image segmentation is the basis of image understanding and analysis. However, the precision and the speed of segmentation can not meet the need of image analysis, due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm (AGA) and Alternative Fuzzy C-Means (AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased, and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means (FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.  相似文献   

Historical development in soil micromorphological imaging     

A.R.Mermut 《山地科学学报》2009,6(2):107-112

The book ＂micropedolog＂ by Kubieana and a large number of publications has induced many people to practice soil micromorphology. Quantification of the soil fabric and its components was a major challenge. The use of the image analyses in soil science was a breakthrough. Attempts to make soil thin sections go back to the beginning of the 2oth century. Microscopic techniques and recently high resolution electron microscope and use of computer assisted imaging techniques enabled the in vitro study of soils in three dimensional levels. It is now possible to store and process massive amounts of data. Micro- morphological concepts and techniques are applied in paleopedological, ecological, and archaeological studies. The aim of this work was to examine soil micromorphological imaging in historical perspective.  相似文献   

Mapping the farming-pastoral ecotones in China     

Jian Zhang  Jie Wei  Quangong Chen 《山地科学学报》2009,6(1):78-87

Conventional farming-pastoral ecotones methods of delineating were not quantitative and could not fully show their spatial distribution. The present paper attempts to develop quantitative methods for mapping farming-pastoral ecotones in China. Nine indicators, related to temperature, precipitation and altitude aspects, were selected to quantify ecological susceptibility of vegetation （crops and forage）. Methods of analytic hierarchy process （AHP） and expert score ranking combined with fuzzy set theory were applied to assign the weight for each indicator and to define the membership functions. The geographic information system （GIS） was used to manage the spatial database and conduct the spatial analysis. According to the spatial calculation of evaluation model integrated with GIS, the ecological susceptibility of vegetation （crops and forage） was mapped. Three different zones, pastoral area, farming-pastoral ecotones and farming area, were classified by spatial cluster analysis and the maximum likelihood classification for the numeric map of vegetation ecological susceptibility by GIS. This map was validated by the economic statistical result based on the ratio of the output value from animal husbandry in total output value of agriculture by the National Bureau of Statistics in China, indicating that the mapping of the farming-pastoral ecotones may be accepted.  相似文献