2012 20th International Conference on Geoinformatics最新文献_第7页

Ground deformation monitoring of Shenzhen metro area with Interferometric Point Target Analysis 基于干涉点目标分析的深圳地铁区域地面变形监测

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270294

Hongman Zhou, Jinxing Hu, Xiang Liu, Peng Ren

{"title":"Ground deformation monitoring of Shenzhen metro area with Interferometric Point Target Analysis","authors":"Hongman Zhou, Jinxing Hu, Xiang Liu, Peng Ren","doi":"10.1109/Geoinformatics.2012.6270294","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270294","url":null,"abstract":"Interferometric Point Target Analysis (IPTA) is a method to exploit the temporal and spatial characteristics of interferometric signatures collected from point targets to accurately map surface deformation histories, terrain heights, and relative atmospheric path delays. In this study, we applied the IPTA technique to monitor the ground deformation of Shenzhen urban area and along the Shenzhen metro lines. The available SAR dataset consists of 20 images from the satellite mission ENVISAT between January 2008 and July 2010. The maximum subsidence rate reaches up to -17.9 to -10 mma-1. The maximum rise rate reaches up to 6 to 9.8 mma-1. The Point Target velocity map shows that there is a strong subsidence in Shenzhen urban area, and the subsidence rate is larger than -10 mma-1. There is also severe subsidence along the metro lines, especially at the stations. The subsidence in the first phase of the Shenzhen metro project is less than the second phase of metro project. The subsidence along the elevated line is less than the underground line. The locations of ground collapse events are mainly distributed at the metro stations.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115203190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Improving Monte Carlo Localization algorithm using genetic algorithm in mobile WSNs 利用遗传算法改进移动无线传感器网络中的蒙特卡罗定位算法

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270264

Yuehu Liu, Hao Yu, Bin Chen, Yubin Xu, Zhihui Li, Yu Fang

{"title":"Improving Monte Carlo Localization algorithm using genetic algorithm in mobile WSNs","authors":"Yuehu Liu, Hao Yu, Bin Chen, Yubin Xu, Zhihui Li, Yu Fang","doi":"10.1109/Geoinformatics.2012.6270264","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270264","url":null,"abstract":"In wireless sensor networks, location information is essential for the monitoring activities. Accessing the locations of events or determining the locations of mobile nodes is one of basic functions of wireless sensor networks. Except for normal information, sensor nodes should also provide position information of sensor nodes. So it's necessary to have a reliable algorithm for localization. Using GPS (Global Position System) technology is a good way to fix position in many fields, and high precision and performance could be obtained in outdoor environment. However, high energy consumption and device volume make it not proper for the low cost self-organizing sensor networks. Some researchers used Monte-Carlo Localization (MCL) algorithm in mobile nodes localization, and revealed that better localization effects could be obtained. However, current MCL-based approaches need to acquire a large number of samples to calculate to achieve good precision. The energy of one node is limited and can't last for a long time. In this paper, a new method has been suggested to apply genetic algorithm to improve MCL in MSNs for localization. Experimental results illustrate that our methodology has a better performance in comparison with Monte Carlo localization algorithm.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124237250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Predicting the potential distribution of bamboo with species distribution models 用物种分布模型预测竹子的潜在分布

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270307

Jiaxin Jin, Hong Jiang, Jianhui Xu, Wei Peng, Linjing Zhang, Xiuying Zhang, Y. Wang

引用次数: 7

A research on human emergency evacuation based on revised ACO-CA 基于修正ACO-CA的人员紧急疏散研究

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270317

Chunzhu Wei, Q. Meng, Wenfeng Zheng, Zhangli Sun, Lijuan Zheng, Chunmei Wang

{"title":"A research on human emergency evacuation based on revised ACO-CA","authors":"Chunzhu Wei, Q. Meng, Wenfeng Zheng, Zhangli Sun, Lijuan Zheng, Chunmei Wang","doi":"10.1109/Geoinformatics.2012.6270317","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270317","url":null,"abstract":"In a sudden natural disaster, a large number of people may get detained within a hazardous space. In recent years, the number of such incidents has increased in China, which motivates the research of artificial intelligence-based simulations of emergency rescue and evacuation. This paper proposesam ethodological approach that combined with ant colony optimization and Cellular automata integrating simulation and optimizationto study the complexity and randomness characteristics of human behaviors under the emergency evacuation, for solving an optimal emergency evacuation planning problem in an emergency shelter. The path residual pheromone and heuristic factors of the Ant colony algorithm in this integrated model are treated as personal behavior difference and aggregation, which can be treated as the herb behavior factors and the shortest path first factors,reflecting the randomness and interaction in the process of population evacuation. Through using ant colony algorithm to calculate the transition probability of the interaction among the neighboring cells, and updating the pheromone through taboo list based on local optimal path of the ant colony, the cells can finally finish the simulation of safe evacuation under the principle of optimal transition rules. The method could effectively simulate the delayed population and achieve the simulation of the population distribution in the evacuation area when the natural disaster happens. It would also offer a scientific reference for the research of population emergency evacuation.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116487679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Exploring spatiotemporal characteristics of intra-urban trips using metro smartcard records 利用地铁智能卡记录探索城市内出行的时空特征

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270316

Yongxi Gong, Yu Liu, Yaoyu Lin, Jian Yang, Zhongyuan Duan, Guicai Li

引用次数: 33

A parallelized multi-objective particle swarm optimization model to design soil sampling network 基于并行多目标粒子群优化模型的土壤采样网络设计

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270337

Dianfeng Liu, Yaolin Liu, Yanfang Liu, Xiang Zhao

引用次数: 3

Zoning analysis of Ecosystem Services Value in downtown of Langfang City 廊坊市中心城区生态系统服务价值分区分析

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270282

Kun Mao, Qiuhao Huang, Min Liu, Wei Chen, Manchun Li

引用次数: 0

Estimation of vegetation water content based on MODIS: Application on forest fire risk assessment 基于MODIS的植被含水量估算:在森林火险评估中的应用

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270322

Minbin Jiang, Zhuowei Hu, Yi Ding, Dan Fang, Yang Li, Lai Wei, Meichen Guo, Shuo Zhang

{"title":"Estimation of vegetation water content based on MODIS: Application on forest fire risk assessment","authors":"Minbin Jiang, Zhuowei Hu, Yi Ding, Dan Fang, Yang Li, Lai Wei, Meichen Guo, Shuo Zhang","doi":"10.1109/Geoinformatics.2012.6270322","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270322","url":null,"abstract":"Forest fire is one of serious and universal natural disasters with the characteristics of wide distribution, high frequency, and uncertainty. Because of these features, the traditional manual methods to monitor forest fire become difficult. With the development of the remote sensing monitoring techniques, the forest fire monitoring becomes more effective. The ignition of forest fire needs some special weather and forest conditions concerned. Fuel moister content is a critical factor to induce the occurrence of forest fires. It is decided by the vegetation water content. In This paper the Great Khingan Mountains Region which locate in Heilongjiang Province were taken as the study area. And it includes the flowing contents: 1.Using MODIS NDVI data to reveal the growth situation of vegetation, and its relationship with vegetation water. 2. Using the band 2 and band 6 of MODIS data to calculate the global vegetation moisture index. 3. Using global vegetation moisture index to retrieve vegetation water content. 4. Considering the relation of NDVI, and vegetation water content comprehensively, obtained high fire risk period and areas of experimental area.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133240839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

High-precision DEM production in complex urban area using LiDAR data 利用激光雷达数据在复杂城市地区制作高精度DEM

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270270

Wenquan Han, Yongquan Li, Lei Chen

引用次数: 6

Remotely sensed groundwater storage variations in Hai River basin, China 海河流域地下水储量遥感变化

2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270267

H. Xu, Yun Pan, H. Gong, Demin Zhou

引用次数: 0