关于地理国情监测职责分工的探讨

地理国情监测是新时期测绘地理信息部门对基础测绘工作的拓展和延伸,其跨行业、跨部门、跨学科、跨区域等特性,要求测绘地理信息部门必须完善各项工作机制,强化部门间横向合作、系统内纵向协作等机制建设,同时调动行业力量,全面配合地理国情监测的顺利开展。本文将在以往地理国情监测理论研究和实践的基础上,重点对监测、监督和监管3个阶段测绘地理信息部门及相关部门的任务分工和合作机制建设,各级测绘地理信息部门的职责分配和统筹规划、成果汇交与发布等协作机制建设,以及如何发挥企业在科技创新和地理国情监测任务实施方面的作用等开展一些初步分析和探索。     

水产养殖遥感监测及信息自动提取方法研究

以海南省文昌地区为例,在沿海地区尝试利用遥感监测的手段提取水产养殖地块和面积.采用面向对象的分类方法进行监测,取得了理想效果,同时也提出了提高分类精度的建议.     

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.     

Optimizing support vector machine learning for semi-arid vegetation mapping by using clustering analysis

In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully determined by support vectors, which compose a subset of the training sets. In this regard, a solution to optimize SVM learning is to efficiently reduce training sets. In this paper, a data reduction method based on agglomerative hierarchical clustering is proposed to obtain smaller training sets for SVM learning. Using a multiple angle remote sensing dataset of a semi-arid region, the effectiveness of the proposed method is evaluated by classification experiments with a series of reduced training sets. The experiments show that there is no loss of SVM accuracy when the original training set is reduced to 34% using the proposed approach. Maximum likelihood classification (MLC) also is applied on the reduced training sets. The results show that MLC can also maintain the classification accuracy. This implies that the most informative data instances can be retained by this approach.     

Using spectral information from the NIR water absorption features for the retrieval of canopy water content

Canopy water content (CWC) is important for mapping and monitoring the condition of the terrestrial ecosystem. Spectral information related to the water absorption features at 970 nm and 1200 nm offers possibilities for deriving information on CWC. In this study, we compare the use of derivative spectra, spectral indices and continuum removal techniques for these regions. Hyperspectral reflectance data representing a range of canopies were simulated using the combined PROSPECT + SAILH model. Best results in estimating CWC were obtained by using spectral derivatives at the slopes of the 970 nm and 1200 nm water absorption features. Real data from two different test sites were analysed. Spectral information at both test sites was obtained with an ASD FieldSpec spectrometer, whereas at the second site HyMap airborne imaging spectrometer data were also acquired. Best results were obtained for the derivative spectra. In order to avoid the potential influence of atmospheric water vapour absorption bands the derivative of the reflectance on the right slope of the canopy water absorption feature at 970 nm can best be used for estimating CWC.     

全站仪三角高程测量的精度分析和计算自动化

全站仪三角高程测量具有效率高,实施灵活等优点,经研究并通过实践验证,在对观测结果进行相关改正的条件下,全站仪三角高程测量完全能达到三、四等水准测量的精度要求,同时可借助Excel所具备的强大数据处理能力,使观测数据的处理更为方便快捷。     

GISVlog模型的设计与实现

本文以地理信息系统(GIS为基础,分析了地理信息系统沃客(GISVlog,)形成的两个背景——网络新技术提高GIS生命力和沃客(Vlog,Vedio log的缩写)为网络增值;分别论述了GISVlog形成对GIS发展和Vlog发展的意义;在普通GIS的系统功能结构和Vlog的系统功能结构的基础上构建GISVlog的框架结构并加以实现;论文最后展望了GISVlog的发展前景,提出GISVlog是网络搜索技术新的研究方向。     

基于中间件的遥感影像数据共享技术研究

针对遥感影像共享服务的应用需求,提出基于中间件技术的影像数据共享方法;设计基于中间件技术的影像数据服务模式。通过实验实现支持多用户并发访问的服务原型,验证基于中间件技术的影像数据服务方法的可行性并给出进一步研究的方向。     

GIS发展的最新趋势及其应用前景

简要分析了目前ＧＩＳ研究领域的主要方向及其基本基本内容,其中包括组件（Ｃｏｍｐｏｎｅｎｔｓ）ＧＩＳ、Ｉｎｔｅｒｎｅｔ或Ｉｎｔｅｒａｎｅｔ ＧＩＳ、Ｄａｔａ Ｗｓｒｅｈｏｕｓｉｎｇ、ＳＤＩ、３Ｄ ＧＩＳ、ＧＩＳ与多媒体数据的集成及虚拟现实技术等。阐述了ＧＩＳ的开发应用领域及其现状,最后对ＧＩＳ的开发应用提出一些建议。     

世界航天遥感技术现状、发展趋势及油气遥感应用方向

世界航天遥感技术发展迅速,掌握卫星发射技术和具备卫星发射能力的国家越来越多,其中,高分辨率小型商业卫星和雷达卫星已经成为重要的遥感信息源;高光谱分辨率遥感将是现今和下个世纪的发展方向。本文总结了世界航天遥感技术现状,分析了今后的发展趋势,提出了油气遥感应用的研究方向