“嫦娥一号”第一幅月面遥感影像撞击坑特征

撞击坑是月表的主要地貌形态,按普通碗状型、中心隆起型、平底型及同心圆型4种类型描述"第一幅月面图像"上月表撞击坑的形态特征.应用遥感专业图像处理软件,结合白赛尔大地主题反算法,实现撞击坑分布及直径信息提取.研究发现,研究区域的撞击坑直径主要集中在300～700 m.而且撞击坑空间分布不均匀,直径越小,分布越密集.     

基于内容的离散余弦变换域自适应遥感图像数字水印算法

提出一种适于遥感图像知识产权保护和机密信息传递的离散余弦变换域自适应数字水印嵌入算法,该算法能够通过数字水印置乱、嵌入位置自适应选取、嵌入深度智能调节等措施,将二值水印图像信息安全地嵌入到遥感图像(纹理区)的离散余弦变换域中高频系数内.实验结果表明:该遥感图像数字水印算法不仅具有较好的透明性,而且对诸如叠加噪声、JPEG压缩、平滑滤波、几何剪切、图像增强、马赛克等攻击均具有较好的抗差性,整体性能优于Ho等提出的数字水印嵌入方案.     

广义非线性动态处理模型及其解算方法

本文针对当今各国高层领导和科学家十分关注并大力倡导的“数字地球”、“数字国家”、“数字城市”、“数字矿山”等科学工程构建中遇到的大量的多源、多维、多类型、多时态、多精度并具有非线性特征的联合数据处理问题的特点,建立了一个广义非线性动态联合数据处理模型及其相应的广义非线性最小二乘模型。针对该模型规模大、维数高的特点,借鉴多变量函数寻优的“变量轮换法”或“因素交替法”的思想、结合无记忆牛顿法,建立了一个解算算法,该算法将大规模的优化问题分解为两个较低规模的优化问题进行解算,降低了问题的规模,借助无记忆牛顿法,减少了存储量,特别适合大规模问题的解算。     

数字正射影像拼接的研究

介绍了数字正射影像,详细探讨了数字正射影像的拼接,并介绍了一种处理影像重叠区域过渡的方法,以消除拼接后影像的接缝。     

多光谱与全色遥感影像像素级融合算法比较分析

简述了遥感影像融合的过程,并利用SPOT5的全色和多光谱影像在Envi软件里采用IHS、Gram-Schmidt、Brovey和Color Normalized （CN）的融合算法进行融合,然后对几种影像融合的结果进行定性定量的评价分析.分析的结果表明：与原多光谱相比,HIS融合方法的清晰度和信息的丰富度最高;Gram-Schmidt的光谱保真度和相关度最佳,清晰度和信息的丰富度也仅次于HIS融合结果;Brovey和CN的融合算法是最差的,但是在凸显植被和水体地物时Brovey和CN有优势.总而言之对于不同地物类型,每种融合方法具有各自的优势和限制,所以应根据不同的用途选择最佳的融合算法.     

山岳型旅游目的地形象感知研究——以五台山风景名胜区为例

以山岳型旅游目的地五台山风景区为例,利用百度、Google以及国内各旅游网站收集游客记述五台山旅游形象的87篇网络游记和620条网上点评,运用质性研究之扎根理论的方法对五台山申遗后旅游形象的感知进行研究,以期为山岳型旅游目的地形象研究拓展方法和为其管理提供参考和依据.结果表明:1.从71篇网络游记和490条网络点评中提取出佛教胜地、静心拜佛、避暑胜地、建筑精湛、许愿还愿和朝台览胜6大积极感知因素;2.从226句负面评论中,归纳出五台山旅游形象的6个消极感知因素为旅游供给、旅游环境、旅游设施、旅游管理、旅游吸引和旅游服务;3.同时,典故传说、佛缘之地、民风淳朴亦为五台山旅游形象的积极感知因素.     

Comparative assessment of semantic-sensitive satellite image retrieval: simple and context-sensitive Bayesian networks

In recent years, Bayesian networks using unsupervised extracted image features have been applied in many remote sensing information mining systems to enable semantic-sensitive image retrieval. However, a simple Bayesian network insufficiently accounts for the spatial information, that is, the relations among image regions, for the semantic inference process. This drawback significantly impacts the retrieval performance, especially if the utilised features contain no or little spatial information. Therefore, this article proposes a context-sensitive Bayesian network, which infers semantic concepts of image regions based on the spectral and textural characteristics of the regions themselves as well as their contexts, that is, the adjacent regions. In order to compare the context-sensitive Bayesian network with the simple Bayesian network, comprehensive experiments were conducted based on high-resolution multispectral IKONOS imagery. The results show that the incorporation of the image regions' spatial relations not only significantly improves the accuracy of the semantic concepts inference, but also allows more flexibility in choosing the type of low-level features.     

Approximation of Gaussian spatial autoregressive models for massive regular square tessellation data

Most of the literature to date proposes approximations to the determinant of a positive definite n × n spatial covariance matrix (the Jacobian term) for Gaussian spatial autoregressive models that fail to support the analysis of massive georeferenced data sets. This paper briefly surveys this literature, recalls and refines much simpler Jacobian approximations, presents selected eigenvalue estimation techniques, summarizes validation results (for estimated eigenvalues, Jacobian approximations, and estimation of a spatial autocorrelation parameter), and illustrates the estimation of the spatial autocorrelation parameter in a spatial autoregressive model specification for cases as large as n = 37,214,101. The principal contribution of this paper is to the implementation of spatial autoregressive model specifications for any size of georeferenced data set. Its specific additions to the literature include (1) new, more efficient estimation algorithms; (2) an approximation of the Jacobian term for remotely sensed data forming incomplete rectangular regions; (3) issues of inference; and (4) timing results.     

多属性融合定量储层预测方法研究与应用——以廊固凹陷杨税务潜山为例

杨税务潜山位于廊固凹陷北部,裂缝孔隙型储层发育,地质综合研究表明该区处于油气运聚的有利方向,但由于其储层埋藏深,地震资料成像精度低,常规属性预测有效储层难度大,多解性强.本文在充分分析已钻井地球物理响应特征的基础上,优选了对有效储层响应敏感的3个属性——平均振幅、方差属性、弧长属性,并计算有效储层厚度与优选属性之间的相...