空间数据模糊聚类的有效性评价

基于模糊划分中存在的分类不确定性因素和空间数据的空间位置特征,提出了一种新的空间数据模糊聚类有效性函数。实验结果表明,这种新的有效性函数能够对模糊聚类结果的有效性进行正确的评价,特别是对于空间数据模糊聚类有效性评价,其分类效果较理想,同其他有效性指标相比,能得到较优的分类数。     

基于地质遗迹资源保护利用价值的保护区划分——以云南盐津乌蒙峡谷地质公园为例

地质遗迹资源保护利用价值是合理划分保护区的基础.本文以盐津乌蒙峡谷地质公园地质遗迹资源为例，从地质遗迹资源利用性和脆弱性两个方面构建地质遗迹资源保护利用价值评价指标体系，运用层次分析法确定地质遗迹资源保护利用价值评价因子权重.采用专家咨询法建立地质遗迹资源保护等级划分标准.利用菲什拜因-罗森伯格模型对盐津地质公园典型地质遗迹资源进行保护利用价值评价并划分保护等级.根据保护利用价值评价结果，利用Sufer9.0软件制作地质遗迹资源保护利用等值线图，结合地质遗迹资源保护的便利性与地方相关规划的协调性，绘制出盐津乌蒙峡谷地质公园地质遗迹资源保护分区图，结果为：盐津乌蒙峡谷地质公园特级保护区面积0.06 km²，一级保护区面积11.74 km²，二级保护区面积23.47 km²，三级保护区面积75.07 km².     

我国耕地资源持续利用研究

通过论述我国耕地态势及实现持续利用的意义,分析耕地损失和退化的各种类型,探讨实现耕地持续利用的几个关键问题。在此基础上提出了适合我国耕地持续利用的对策,为我国实施“耕地总量动态平衡”的提供服务。     

那丹哈达岭北段上古生界基本地质特征

<正> 一、引言 那丹哈达岭位于黑龙江省的东部,是完达山脉的北东延伸部分,西界为宝清县大和镇,东邻苏联。这里分布着巨厚的海相沉积地层。1959年中、苏科学院黑龙江流域综合考察队乌苏里江地质队奥尔干诺夫、戈沃罗夫、王秀璋等把这套地层命名为二道河子岩群,三分为镇江岩系、向阳岩系及挠力河岩系。他们根据若干延续时代很长的放射虫残骸Nassellaria类(纲网虫类)、Spumellaria类(泡球虫类)和Charophyta(藻)及在邻区(即所谓宝清过渡带北)采到动物化石Monotis ocholica，而将上述三岩系分别划为上三叠统、下侏罗统及中侏罗统，这样便产生了“中生代地槽折皱带”动概念。     

塔里木盆地地球动力学演化与含油气系统旋回

论述了塔里木盆地的地球动力学演化过程,指出震旦-三叠纪和侏罗-第四纪是两个构造巨旋回．在这类旋回中,盆地经历了由伸展到聚敛的完整发育过程塔里木盆地的演化总体上表现为强伸展-聚敛-微伸展-强聚敛的特点盆地动力学旋回决定了油气的生运聚散过程．提出含油气系统旋口的概念．在分析寒武-奥陶系含油气系统旋回、石炭系-下二叠统含油气系统旋回和侏罗系含油气系统旋回的基础上,指出对含油气系统旋回的形成期与调整再分配期的研究更具实际意义．     

Member 1 of Yongji Formation (Ey1) sedimentary characteristics and its origin analysis in Yitong Graben

Ey1 has the unique desultory-weak or gap seismic reflection structure as its one of the most important characteristics. It is very important to clarify sedimentary characteristics and its origin for Yitong Graben and its sedimentary facies and tectonic evolution. On the basis of the research of core analyses, well logging data analyses, sedimentary facies analyses and seismic reflection structure analyses, the authors have concluded the sedimentary characteristics of Ey1, and have carried out Ey1 sedimentary environments and its origin. The result shows that Ey1 desultory-weak or gap seismic reflection may be a series of small scale secondary sediment fans superimposition.     

基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究

Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification.     

基于稀疏AR模型的潮流信号建模与预报

潮流信号处理与预报在很多方面具有非常重要的意义和价值。本文引入信号稀疏表示理论,构建一种稀疏AR模型,寻找各潮流数据间的历史关联性,并进行预报分析。首先由实测潮流信号进行常规AR建模,获得一组过完备稀疏基;其次随机从该过完备稀疏基抽取部分建立欠定方程组,利用稀疏优化算法获得最稀疏的AR系数;多次重复上一步,获得稀疏AR系数的平均以增强稀疏AR模型的稳定性;最后利用这些稀疏AR系数来重构或预测潮流信号。文章针对实测潮流信号,特别是存在多峰值有回流现象的潮流信号,进行了稀疏AR建模与预测的多次实验。实验结果与传统的潮流信号调和预报方法相对比,发现基于稀疏AR模型的潮流预报对于潮流存在多变的现象时,具有明显优越性,从回报结果来看,稀疏AR模型的潮流预报均方差明显小于传统潮流调和分析预报方法。     

深海内波空间啁啾的演变研究

根据基于两层流体推导的深海内波弱非线性薛定谔(Nonlinear Schrodinger,简称NLS)方程,引进空间啁啾的思想,研究深海区频散效应和非线性效应的作用。文中推导出了频散效应和非线性效应所致啁啾的表达式,采用数值计算方法计算了综合效应产生的总啁啾。分析了频散和非线性以及综合效应所致啁啾在深海内波传播中的演变规律。从空间啁啾的角度,解释中国南海东沙群岛附近深海区内波演变的机理。