Cartographically Wordy but not Necessarily Worthy     

《The Cartographic journal》2013,50(3):195-197

Abstract

A novel method called multidirectional visibility index (MVI) has been developed and verified. The MVI improves standard cartographic analytical shading with a number of enhancements to topographic detail and prominent structures, i.e. the portrayal of flat areas in lighter tones, the accentuation of morphologic edges, and the multiscale visualisation of morphologic terrain features. The procedure requires a digital elevation model (DEM) and involves the following steps: visibility mask computation; the respective multidirectional altering of the azimuth and elevation angle; the generation of continuous grid MVIs that indicate upper/lower views, quasi-slope, and relative relief; and an appropriate visualisation of the relevant MVI as a standalone technique or in combination with standard hill-shaded relief. The modelling parameters are robust and therefore highly adaptive to different landforms.  相似文献   

顾及地物空间关系的卫星影像水系信息提取     

刘静  左小清  吴俐民  黄亮  卢昭羿 《测绘科学》2013,38(3)

为了更好地提取影像阴影部分的信息,本文采用一种顾及地物间空间关系的水系提取方法,将地物之间的空间关系与面向对象的方法相结合。通过多尺度分割算法生成同质的影像对象,利用决策树、隶属度函数和阴影与建筑物的邻接关系对水体进行提取。以昆明某区域影像为实验数据进行了试验,试验结果表明,所提出的方法可以有效解决阴影对水系提取造成的影响,大大提高了水系提取的精度。  相似文献   

Double vagueness: uncertainty in multi-scale fuzzy assignment of duneness     

Cheng Tao  Pete Fisher  Li Zhilin 《地球空间信息科学学报》2013,16(1):58-66

In the automation of identification of landscape features the vagueness arises from the fact that the attributes and parameters that make up a landscape vary over space and scale. In most of existing studies, these two kinds of vagueness are studied separately. This paper investigates their combination in identification of coast landscape units. Fuzzy set theory is used to describe the vagueness of geomorphic features due to the continuity in space. The vagueness resulted from the scale of measurement is evaluated by statistic indicators. The differences of fuzzy objects derived from data at differing resolutions (in size from 3×3 cells to 25×25 cells) are studied in order to examine these higher-order uncertainties.  相似文献   

Integration of high-resolution imagery and LiDAR data for object-based classification of urban area     

A. Mehta  O. Dikshit  K. Venkataramani 《国际地球制图》2013,28(4):418-432

This paper investigates the synergistic use of high-resolution multispectral imagery and Light Detection and Ranging (LiDAR) data for object-based classification of urban area. The main contribution of this paper is the development of a semi-automated object-based and rule-based classification method. In the implemented approach, the diverse knowledge about land use/land cover classes are transformed into a set of specialized rules. Further, this paper explores supervised Gaussian Mixture Models for classification, which have been primarily used for unsupervised classification. The work is carried out on test data from two different sites. Contribution of the LiDAR data resulted in a significant improvement of overall Kappa. Accuracy assessment carried out for aforementioned classification methods shows higher overall kappa for both the study sites.  相似文献   

A multi-level segmentation methodology for dual-polarized SAR data     

M. Dabboor  V. Karathanassi  A. Braun 《International Journal of Applied Earth Observation and Geoinformation》2011

An innovative methodology for dual-polarized Synthetic Aperture Radar (SAR) data segmentation is proposed. The methodology is based on the thresholding of the 1D-histograms of the two images produced by the dual polarimetric bands. Thresholding of the histograms is performed using a nonparametric algorithm. Histograms after thresholding are combined together in a two dimensional histogram-based space in order to define sub-spaces, which are used for image segmentation. Sub-spaces are further divided based on two criteria which lead to a multi-level segmentation approach. Dual-polarized TerraSAR-X data, both HH and VV, are used in a study area located in the southwestern United Kingdom.  相似文献   

地名分词搜索的词典设计与匹配方法研究     

李艳红  庞小平  李海亭 《测绘信息与工程》2011,36(2):52-54

阐述了专门用于分词搜索的关键词词典设计,提出了采用逆向最大匹配和权重匹配相结合的方法,实现了更加准确、高效的地名搜索。  相似文献   

视觉皮层振荡神经网络在遥感影像分割中的应用     

施蓓琦  刘春  姚连璧  陈能 《武汉大学学报(信息科学版)》2011,36(12):1442-1446

对于具有复杂场景的遥感影像,提出了基于各向异性扩散特征保持平滑的简化LEGION算法,弥补传统LEGION图像分割算法对噪声敏感的不足。对于多（高）光谱影像,则采用马氏距离计算光谱向量间的连接权得到扩展LEGION算法进行分割。实验结果表明,LEGION算法较传统的图像分割方法对单波段灰度遥感影像目标及其重要细节部分的分割效果更显著;扩展LEGION算法适用于多光谱遥感影像分割。  相似文献   

数字苏州公共服务平台的构建     

高苏新 《测绘与空间地理信息》2011,34(3):24-26

结合苏州市地理信息系统平台建设实际情况,分别从建设目标、技术设计,系统开发、共享模式和应用推广等方面总结了数字苏州市公共服务平台建设的思路与经验,同时也提出了当前推广地理信息系统应用集成开发的创新思想.  相似文献   

面向对象的山地区域多源遥感影像分割尺度选择及评价     

鲁恒  李永树  唐敏 《山地学报》2011,29(6)

随着遥感技术的飞速发展,通过各种传感器获取的影像种类越来越多.传统的面向像元的影像分析技术已难以适应高分辨率影像,面向对象的影像分析技术应运而生.面向对象的影像分析技术所面临的首要问题是影像分割,如何选择合适的影像分割尺度已成为面向对象影像分析技术的关键.为了提高遥感影像分割尺度选择的准确性,通过对影像分析建立了分割质量函数,针对不同分辨率的多源遥感影像进行分割实验,获取了最优分割尺度,最后提出了一种顾及面积和光谱的分割匹配指数对最优分割尺度进行评价,并研究了分割尺度与亮度均值标准差、影像空间分辨率之间的对应关系.研究结果表明,构建的分割质量函数获取的最优分割尺度避免了人工分割带来的主观性,建立的同时顾及面积和光谱因子的分割匹配指数验证了最优分割尺度选择的正确性.  相似文献   

基于高斯混合模型的海冰图像非监督聚类分割研究     

兰志刚  靳卫卫  朱明亮  于新生  国建凤  周振涛  李凯宝 《海洋科学》2011,35(11):97-100

为了利用海冰图像识别技术获取海冰冰况信息, 探索了利用高斯混合模型进行海冰图像分割的技术途径, 描述了具体算法, 并利用高斯混合模型的最大期望值（EM）算法以及最小描述长度（MDL）准则对渤海海冰图像进行目标提取。研究结果表明, 该方法可以很好地实现海冰信息的有效提取和海冰图像的有效分割, 从而证明了建立在图像分割技术...  相似文献