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901.
多光谱与全色遥感影像像素级融合算法比较分析 总被引:1,自引:0,他引:1
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. 相似文献
902.
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. 相似文献
903.
V. D. Valavanis I. Katara A. Palialexis 《International journal of geographical information science》2013,27(10):1131-1147
A new method (the ‘sink’ method) is proposed for the mapping of productive mesoscale oceanic thermal fronts based on the combined analysis of satellite imagery for sea surface temperature (SST) distribution and chlorophyll (CHL) concentration under a Geographic Information System (GIS). In an SST lattice data array, data value sinks describe heterogeneous drops in SST distribution as this is compared to more homogeneously distributed SST in the surrounding area. Using Arc/Info GIS, these thermal discontinuities are flagged and applied on SST and CHL imagery for the calculation of differences in SST and CHL patterns (DSST and DCHL) inside and outside of these flagged areas. Spatially connected sinks that are characterized by simultaneous negative DSST and positive DCHL pattern are mapped as thermal fronts. Results include a time series of monthly front occurrence GIS maps in Eastern Mediterranean waters along with three calculated front characteristics (DSST, DCHL and bathymetry). Comparisons between the mapped fronts and isobath distributions present clearly visible front‐to‐isobath spatial and shape associations while spatial analysis between front and wind data explains 66% of the number of mapped fronts. 相似文献
904.
Yikun Li Shuwen Yang Tao Liu Xiaoyuan Dong 《International journal of geographical information science》2013,27(2):247-263
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. 相似文献
905.
Approximation of Gaussian spatial autoregressive models for massive regular square tessellation data
Daniel A. Griffith 《International journal of geographical information science》2013,27(12):2143-2173
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. 相似文献
906.
Earthflow‐type landslides are persistent natural hazards having deep socio‐economic and environmental consequences. They have significantly contributed to the geomorphic evolution of mountainous slopes in Europe since the Late Glacial. An understanding of their complex kinematics is crucial to better constrain the processes governing their occurrence and mobility. In this work we explored the possibility to quantify displacement vectors on a spatially distributed basis and to quantify volumetric transfer at the slope scale with regard to a large flow‐type landslide located in the northern Apennines of Italy. For this purpose we applied digital image correlation (DIC) and digital elevation model differencing (DEMoD) techniques to multi‐temporal airborne LiDAR surveys of 2006, 2007 and 2009. The DIC was applied to greyscale slope gradient maps retrieved after precise co‐registration of LiDAR surveys. Thereby, movement patterns over various sectors of the landslide were reconstructed and quantified, most notably up to 20 m in the head zone, up to 51 m in the lower main track, and up to about 27 m at the landslide toe. The DEMoD analysis revealed significant mass transfer from the source to the tracks and toe zone, with the upper flow tracks acting as temporal storage of large amounts of material. The mass balance indicated that significant amounts of advancing landslide debris were eroded by a local stream. An integrated analysis of DEMoD and DIC results allowed for a discussion of governing processes, such as the transition from slide to flow, the influence of underlying topography on earthflow mobility, and the role of undrained loading as a mechanism of toe zone reactivation. In conclusion, the successful application of DIC and DEMoD to the case study underlines the added value of high‐resolution DEMs in the analysis of earthflow kinematics toward a better understanding of their role in the geomorphic evolution of slopes. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
907.
908.
909.
提出了一种利用雷达数据解算航空影像的方法,即在航空摄影测量过程中用规则建筑物顶面中心作为控制点,代替传统摄影测量中的像控点。LiDAR数据中导出的中心点相当于一个带有3维坐标的单个点,能够用于空中三角测量系统,从而省去外业像控测量的步骤。利用LiDAR数据作为地面控制点进行空中三角测量的控制点加密,验证了方法的可行性,证明了LiDAR参考系中规则顶面中心点作为控制点进行空三加密可以满足丘陵地区1∶5 000比例尺成图要求。 相似文献
910.
随着CBERS-02B星(以下简称02B星)多光谱CCD数据与全色HR数据在各个领域的广泛应用,两者相差较大的空间分辨率给图像融合带来难题。在对改进型的IHS变换、主成分变换、Brovey变换、GS变换等融合算法分析的基础上,利用02B星数据进行融合试验,并对试验结果进行定性与定量评价,结果表明:①Brovey变换融合效果较差;②在影像的阴影区域,改进型的IHS变换融合结果存在光谱失真;③PCA变换光谱保真较好;④GS变换无论是统计结果还是图像的色彩和清晰度都明显优于上述三种方法。 相似文献