虚拟地理试验的地标视觉显著度模型

doi:10.11947/j.AGCS.2018.20180107

测绘学报 ›› 2018, Vol. 47 ›› Issue (8): 1114-1122.doi: 10.11947/j.AGCS.2018.20180107

虚拟地理试验的地标视觉显著度模型

贾奋励¹, 田江鹏¹, 智梅霞¹, 陈令羽¹, 杨清丽²

1. 信息工程大学地理空间信息学院, 河南郑州 450052;
2. 61287部队, 甘肃兰州 730020

收稿日期:2018-03-16 修回日期:2018-06-10 出版日期:2018-08-20 发布日期:2018-08-22
通讯作者: 田江鹏 E-mail:tjpeng2011@163.com
作者简介:贾奋励(1976-),女,博士,副教授,研究方向为空间认知与虚拟地理环境、全息地图。E-mail:imjerry76@foxmail.com
基金资助:
国家自然科学基金（41671407；41701457；41371382）；国家重点研发计划（2017YFB0503500）

A Visual Salience Model of Landmark Based on Virtual Geographical Experiments

JIA Fenli¹, TIAN Jiangpeng¹, ZHI Meixia¹, CHEN Lingyu¹, YANG Qingli²

1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China;
2. No. 61287 Troops of PLA, Lanzhou 730020, China

Received:2018-03-16 Revised:2018-06-10 Online:2018-08-20 Published:2018-08-22
Supported by:
The National Natural Science Foundation of China (Nos. 41671407;41701457;41371382);The National Key Research and Development Program of China (No. 2017YFB0503500)

摘要/Abstract

摘要： 针对地标显著度计算存在的因子不全、赋权主观的问题，提出了一种利用虚拟地理试验构建地标显著度模型的方法。以城市地标显著度模型求解为例，分析了地标视觉显著度影响因子（简称为视觉因子）及计算方法，构建了一种综合眼动追踪、视觉因子可控和可计算的虚拟试验环境。开展了眼动指标与地标显著度之间的关系求解试验，建立起二者的定量关系模型。以该模型为基础，开展了地标视觉显著度与视觉因子间定量关系的求解试验，通过试验数据拟合得到最终的地标视觉显著度模型公式。本文方法的核心是：在视觉因子可控可计算的虚拟环境中，使用眼动指标表征显著度值，通过地标认知试验及数据分析拟合得到显著度模型。该方法对于研究地标判别这类人与环境相互作用机制的问题具有独特的优势，可降低研究的复杂度，克服研究结果的难复现性。

关键词: 虚拟地理试验, 地标, 视觉显著度, 眼动

Abstract: In this paper,a visual salience model of landmark based on virtual geography experiments is proposed for landmark discrimination and salience calculation.Taking the calculation of salience model of city buildings as an example,visual factors of landmarks and their calculation are first analyzed,and then a virtual experiment environment is developed to incorporate eye tracking as well as controllable and computable visual factors.Furthermore,a quantitative model of the relationship between eye movement factors and visual salience of landmark is derived from empirical results.Based on the quantitative model,further experiment is designed to solve the equation of visual salience model of landmark by fitting experimental data,which describes the relationship between a visual salience of landmark and visual factors.The key to the proposed method is to use eye movement factors to represent a salience model in a virtual environment with controllable and computable visual factors,and then the salience model can be calculated through landmark cognition experiments and data analysis.This method can not only reduce the complexity of landmark research,but also overcome the difficulty of repeating the experiments,which makes it a unique advantage to solve problem that tackles interaction mechanism between human and environments such as landmark discrimination.

Key words: virtual geographic experiments, landmark, visual salience model, eye movement

中图分类号:

P208

贾奋励, 田江鹏, 智梅霞, 陈令羽, 杨清丽. 虚拟地理试验的地标视觉显著度模型[J]. 测绘学报, 2018, 47(8): 1114-1122.

JIA Fenli, TIAN Jiangpeng, ZHI Meixia, CHEN Lingyu, YANG Qingli. A Visual Salience Model of Landmark Based on Virtual Geographical Experiments[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(8): 1114-1122.

参考文献

[1] RICHTER K F, WINTER S. Landmarks:GIScience for Intelligent Services[M] Berlin:Springer, 2014.
[2] LYNCH K. The Image of the City[M] Massachusetts:MIT Press, 1960.
[3] SORROWS M E, HIRTLE S C. The Nature of Landmarks for Real and Electronic Spaces[M]//FREKSA C, MARK D M. Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. Berlin:Springer, 1999.
[4] CADUFF D, TIMPF S. On the Assessment of Landmark Salience for Human Navigation[J] Cognitive Processing, 2008, 9(4):249-267.
[5] SIEGEL A W, WHITE S H. The Development of Spatial Representations of Large-scale Environments[J] Advances in Child Development and Behavior, 1975, 10:9-55.
[6] PRESSON C C, MONTELLO D R. Points of Reference in Spatial Cognition:Stalking the Elusive Landmark[J] British Journal of Developmental Psychology, 1988, 6(4):378-381.
[7] RAUBAL M, WINTER S. Enriching Wayfinding Instructions with Local Landmarks[M]//EGENHOFER M J, MARK D M. Geographic Information Science. Berlin, Heidelberg:Springer, 2002.
[8] 李霖, 毛凯, 谭永滨. 地标分层多粒度路径导引描述方法[J] 测绘学报, 2014, 43(1):105-110. DOI:10.13485/j.cnki.11-2089.2014.0015. LI Lin, MAO Kai, TAN Yongbin. Hierarchy Landmarks Multi-granularity Description Method for Route Guidance[J] Acta Geodaetica et Cartographica Sinica, 2014, 43(1):105-110. DOI:10.13485/j.cnki.11-2089.2014.0015.
[9] CHEN Min, LIN Hui, KOLDITZ O, et al. Developing Dynamic Virtual Geographic Environments (VGEs) for Geographic Research[J] Environmental Earth Sciences, 2015, 74(10):6975-6980. DOI:10.1007/s12665-015-4761-4.
[10] LIN Hui, CHEN Min, LÜ Guonian, et al. Virtual Geographic Environments (VGEs):A New Generation of Geographic Analysis Tool[J] Earth-Science Reviews, 2013, 126:74-84. DOI:10.1016/j.earscirev.2013.08.001.
[11] 林珲, 张春晓, 陈旻, 等. 论虚拟地理环境对地理知识的表达与共享[J] 遥感学报, 2016, 20(5):1290-1298. LIN Hui, ZHANG Chunxiao, CHEN Min, et al. On Virtual Geographic Environments for Geographic Knowledge Representation and Sharing[J] Journal of Remote Sensing, 2016, 20(5):1290-1298.
[12] 林珲, 黄凤茹, 闾国年. 虚拟地理环境研究的兴起与实验地理学新方向[J] 地理学报, 2009, 64(1):7-20. LIN Hui, HUANG Fengru, LÜ Guonian. Development of Virtual Geographic Environments and the New Initiative in Experimental Geography[J] Acta Geographica Sinica, 2009, 64(1):7-20.
[13] 龚建华. 论虚拟地理实验思想与方法[J] 测绘科学技术学报, 2013, 30(4):399-408. GONG Jianhua. On Thought and Methodology of Virtual Geographic Experiment[J] Journal of Geomatics Science and Technology, 2013, 30(4):399-408.
[14] 林珲, 陈旻. 利用虚拟地理环境的实验地理学方法[J] 武汉大学学报·信息科学版, 2014, 39(6):689-694. LIN Hui, CHEN Min. Experimental Geography Based on Virtual Geographic Environments (VGEs)[J] Geomatics and Information Science of Wuhan University, 2014, 39(6):689-694.
[15] LI Wenhang, LI Yi, YU Ping, et al. Modeling, Simulation and Analysis of the Evacuation Process on Stairs in A Multi-floor Classroom Building of A Primary School[J] Physica A:Statistical Mechanics and Its Applications, 2017, 469:157-172.
[16] 游雄. 基于虚拟现实技术的战场环境仿真[J] 测绘学报, 2002, 31(1):7-11. YOU Xiong. The Battlefield Environment Simulation Based on VR[J] Acta Geodaetica et Cartographica Sinica, 2002, 31(1):7-11.
[17] 龚建华, 李文航, 周洁萍, 等. 虚拟地理实验概念框架与应用初探[J] 地理与地理信息科学, 2009, 25(1):18-21. GONG Jianhua, LI Wenhang, ZHOU Jieping, et al. Exploring Conceptual Framework and Application of Virtual Geographic Experiments[J] Geography and Geo-Information Science, 2009, 25(1):18-21.
[18] 贾奋励, 张威巍, 游雄. 虚拟地理环境的认知研究框架初探[J] 遥感学报, 2015, 19(2):179-187. JIA Fenli, ZHANG Weiwei, YOU Xiong. Cognitive Research Framework of Virtual Geographic Environment[J] Journal of Remote Sensing, 2015, 19(2):179-187.
[19] ZHANG Xiao, MITRA P, KLIPPEL A, et al. Automatic Extraction of Destinations, Origins and Route Parts from Human Generated Route Directions[M]//FABRIKANT S, REICHENBACHER T, VAN KREVELD M, et al. Geographic Information Science. Berlin, Heidelberg:Springer, 2010.
[20] ZHANG Xiao, MITRA P, KLIPPEL A, et al. Identifying Destinations Automatically from Human Generated Route Directions[C]//Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. Chicago, Illinois:ACM, 2011:373-376.
[21] DRYMONAS E, PFOSER D. Geospatial Route Extraction from Texts[C]//Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics. San Jose, California:ACM, 2010:29-37.
[22] KLIPPEL A, WINTER S. Structural Salience of Landmarks for Route Directions[M]//COHN A G, MARK D M. Spatial Information Theory. Berlin, Heidelberg:Springer, 2005:347-362.
[23] 白玉. 图像处理在城市建筑色彩分析与评价中的应用研究[D] 天津:天津大学, 2010. BAI Yu. The Application Research of Image Processing in the Urban Architectural Color Analysis and Evaluation[D] Tianjin:Tianjin University, 2010.
[24] 潘柔. 矢量面状地物的空间场景相似性计算方法研究[D] 西安:长安大学, 2015. PAN Rou. Study on the Calculation Methods of Similarity for Spacial Scenes Consisted of Vector Area Objects[D] Xi'an:Chang'an University, 2015.
[25] 梁树英. 日光光谱与大气衰减影响下的建筑色彩定量方法研究[D] 重庆:重庆大学, 2014. LIANG Shuying. Architectural Color Quantitative Method Study on the Effect of the Daylight Spectrum and Atmospheric Attenuation[D] Chongqing:Chongqing University, 2014.
[26] 黄向阳, 谢邦昌. 统计学方法与应用[M] 北京:中国人民大学出版社, 2009. HUANG Xiangyang, XIE Bangchang. Statistical methods and Applications[M] Beijing:China Renmin University Press, 2009.
[27] 邱皓政. 量化研究与统计分析[M] 重庆:重庆大学出版社, 2009. QIU Haozheng. Quantiative Research and Statistical Analysis[M] Chongqing:Chongqing University Press, 2009.
[28] 郭杰. 基于用户体验的网页背景色彩实验研究[D] 沈阳:东北大学, 2011. GUO Jie. Experimental Study of Web Page Background Colors Based on UE[D] Shenyang:Northeastern University, 2015.

虚拟地理试验的地标视觉显著度模型

A Visual Salience Model of Landmark Based on Virtual Geographical Experiments

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