道路数据缩编更新的自动综合方法研究

缩编更新是当前GIS多尺度数据库更新的重要技术途径之一。针对我国国家1∶5万数据库更新工程的实际需求,研究分析了用较大比例尺新道路数据缩编更新较小比例尺道路数据的总体思路,提出了基于网眼密度的道路选取和顾及层次分析的道路匹配方法,实现了道路数据缩编更新的自动综合处理,并在1∶5万数据更新实践中进行了实验验证。     

POS数据辅助的航空影像变化检测方法研究

提出了一种利用机裁定位定向系统（POS）数据辅助航空影像进行影像匹配和变化检测的方法。首先利用带POS数据的老影像解求新影像的外方位元素，然后在老立体影像上提取特征点，根据前方交会和共线条件方程得到新影像上同名点的近似位置，再与新影像进行匹配，寻找匹配不好的点作为变化区域的初始位置。以此为基础选择精检测窗口，进行边缘提取和跟踪，并进行链码匹配，最终确定发生变化的区域。试验证实，本文方法是可行的。     

RESEARCH ON EARTHQUAKE EMERGENCY MAPPING METHOD BASED ON TEMPLATE MATCH

After an earthquake, earthquake emergency response and rescue are important ways to mitigate earthquake-induced losses. Various earthquake emergency maps can provide effective references and guidance to those actions. Currently, related studies include the investigation on symbols of emergency maps, remote sensing emergency mapping and GIS-based mapping methods. However, the existing studies overlook the characteristics of rapidity, dynamicity and variety of presentation methods in making earthquake emergency maps. In this paper, a map template matching method is used to quickly make earthquake emergency maps considering their characteristics. We take investigations on the service objects(users)of the earthquake emergency maps to understand the needs of making earthquake emergency maps. The audience theory in mass media field and map information transmission theory are adopted to classify the users of the earthquake emergency maps into four categories: earthquake emergency commanders, technical staffs for decision-making, earthquake emergency rescuers, and the public. The components of different types of users are described and then their diverse demands in earthquake emergency maps are analyzed, such as the needs of on-field disaster information maps, earthquake information maps, physical geography and social economic maps. Following those needs, we introduce the representation methods of the earthquake emergency maps according to their formats(vector or raster)and contents, such as point symbolization method, kilometer grid method, line symbolization method and range method. Then, we study the rapid plotting method of earthquake emergency map based on map template matching method. The core steps of the method include: 1)before earthquake, the templates of different earthquake emergency maps are designed, prepared and connect the earthquake emergency features with their related spatial database. The map layout and map elements are stored in the templates. 2)After earthquake, the earthquake emergency features will be generated from seismic models(such as attenuation model of earthquake magnitude and seismic intensity)or the information obtained from field investigation. 3)Corresponding earthquake emergency map template is selected in accordance with the generated seismic features. And the features are used to update related features inside the selected template. 4)Minor adjustments are made such as to the map scale and some map annotations to finally generate the formal earthquake emergency map. Architecture of template system of the earthquake emergency maps is designed, including map user level, map template level, template layer level and map element level. Regrading to the architecture, the general map template of earthquake emergency is presented which includes four main regions: title region, main picture region, auxiliary region and annotation region. The main picture region is the essential, which lays geographic background maps and earthquake emergency features. Finally, an earthquake emergency mapping system is developed. Based on the system, a case study is presented, which demonstrates making a simulated seismic intensity influence map. From three aspects, the case presents the application of the template-matching method including: generating earthquake emergency features, substituting the features inside the template with the generated features, and revising map annotations. Therefore, the map template matching method is verified so that it can be used to quickly generate various earthquake emergency maps.     

高光谱遥感的物质组分和物质成分反演的应用分析

高光谱遥感的最大特点是可以提取和重建像元光谱,从而依据光谱特征直接识别地物类型、地物组成,乃至地物的成分,反演地物的物理、化学参量。本文阐述了高光谱的光谱识别方法所能探测的岩石、土壤、植被和人工建筑物的物质组分或成分;另外,与多光谱相比较的角度,讨论了高光谱图像地物特征识别和物质成分反演等技术方法的应用。     

Cascaded image analysis for dynamic crack detection in material testing

Concrete probes in civil engineering material testing often show fissures or hairline-cracks. These cracks develop dynamically. Starting at a width of a few microns, they usually cannot be detected visually or in an image of a camera imaging the whole probe. Conventional image analysis techniques will detect fissures only if they show a width in the order of one pixel. To be able to detect and measure fissures with a width of a fraction of a pixel at an early stage of their development, a cascaded image analysis approach has been developed, implemented and tested. The basic idea of the approach is to detect discontinuities in dense surface deformation vector fields. These deformation vector fields between consecutive stereo image pairs, which are generated by cross correlation or least squares matching, show a precision in the order of 1/50 pixel. Hairline-cracks can be detected and measured by applying edge detection techniques such as a Sobel operator to the results of the image matching process. Cracks will show up as linear discontinuities in the deformation vector field and can be vectorized by edge chaining. In practical tests of the method, cracks with a width of 1/20 pixel could be detected, and their width could be determined at a precision of 1/50 pixel.     

基于网格模板的最小欧式距离准则图像自动拼接技术

提出一种结合网格模板和最小欧式距离准则的图像自动拼接方法。方法选取图像重叠部分作为处理对象，运用边缘检测自动获取基准图像特征块，并提出基于网格模板的最小欧式距离准则用于计算匹配点，最后使用图像融合技术消除接缝。应用证明该方法拼接准确快速，实现简单，适合大部分图像拼接应用的需要。     

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顾及几何特征和拓扑连续性的道路网匹配方法

已有的道路网匹配方法需要一定的人为干预和控制,仍无法实现匹配自动化,而且对于具有一定尺度差异的数据而言,受不相关道路对象的影响,匹配结果中会存在较多的误匹配。为此,本文提出一种顾及几何特征和拓扑连续性的由粗匹配到精匹配的分层匹配策略。粗匹配阶段,利用短边中位数Hausdorff距离计算匹配对象的相似度,再以道路网弧段端点的近邻分析结果作为匹配阈值,判断匹配对象是否为同名实体;精匹配阶段,将粗匹配阶段评价结果中离散的同名实体构建为完整的道路Stroke,即以追踪的方式剔除误匹配和添加漏匹配。利用宿城区不同尺度的道路网对所提算法进行验证,结果表明,该算法具有较好的匹配效果,能够实现匹配自动化。     

融合光度参数估计的单目直接法视觉里程计

针对单目直接法视觉里程计在光照变化大的场景下定位精度低、定位鲁棒性差的问题,文中提出一种融合光度参数估计的单目直接法视觉里程计。首先通过对图像帧进行特征匹配实现特征跟踪,建立起图像像素点之间的关联,接着利用非线性优化方法进行光度参数估计,然后在光度参数估计提供的光度参数先验信息的基础上对图像灰度值进行校正,最后利用校正后的图像采用单目直接法视觉里程计对相机运动进行估计。在EuRoC数据集上的实验结果表明,与传统方法相比,文中提出的算法提高单目直接法视觉里程计对光照变化的鲁棒性,定位精度平均提高约18%。     

多匹配策略融合的无人机影像匹配方法

针对AKAZE算法在无人机影像匹配过程中存在的匹配精度低和稳定性较差问题,本文提出一种基于多匹配策略融合的改进影像匹配方法。该方法首先对影像降采样并利用AKAZE算法检测多尺度特征。然后采用一种稳定的RootSIFT描述符进行特征描述。其次,融合最近邻距离比值、双向匹配和余弦相似度约束匹配策略进行特征匹配以降低误匹配率。最后,采用随机抽样一致性(RANSAC)算法确定最终的特征对应关系,并求得几何变换模型。实验结果表明,该方法在获得更多正确匹配点对的同时具有较高的匹配正确率和精度,能够更好适用于无人机影像匹配。