2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)最新文献_第2页

A massive tile data organization and management strategy based on file tree 一种基于文件树的海量数据组织与管理策略

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298047

Fanghong Gao, P. Jiang, Xiangxiang Li, Hongqiang Wang

引用次数: 0

A 3D individual tree modeling technique based on terrestrial LiDAR point cloud data 基于地面激光雷达点云数据的三维单棵树建模技术

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298043

Hongyu Huang, Liyu Tang, Chongcheng Chen

引用次数: 8

Potential sources and transport pathways of PM2.5 in Shanghai, China 中国上海PM2.5的潜在来源和输送途径

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298034

M. Luo, Chongcheng Chen

引用次数: 6

Hybrid filtering of Lidar Data based on the Echoes 基于回波的激光雷达数据混合滤波

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298042

Yundong Ma, Chuntao Wei, T. Hu, Rui Wang, Guoqing Zhou

{"title":"Hybrid filtering of Lidar Data based on the Echoes","authors":"Yundong Ma, Chuntao Wei, T. Hu, Rui Wang, Guoqing Zhou","doi":"10.1109/ICSDM.2015.7298042","DOIUrl":"https://doi.org/10.1109/ICSDM.2015.7298042","url":null,"abstract":"The airborne laser scanning (ALS) has become the most effective way to acquire 3D information of the earth's surface. However, data post-processing lags far behind hardware especially the filtering algorithm. At present, most algorithms for DEM generation are based on the mutation of the elevation, and every method has its own defects. All of the existing filter algorithms are based on a priori information, so that the accuracy of the filtering is affected by the terrain fluctuation. In this paper, a new algorithm called Hybrid Filtering of Lidar Data based on the Echoes was proposed. First, we make an analysis of echo characteristic of airborne Lidar data, and propose classification schemas based on the characteristic of echo characteristic. Then we use the Pseudo Grid for segmentation and index. Furthermore, using the existing filtering algorithm to distinguish the seed point is terrain point or not. At last, we filter the cooked data. In theory, because of removing part of object point the accuracy and the efficiency must be significantly increased. Experiments show that it is effectively to eliminate most of vegetation and building points, that means, the method proposed in this paper not only can reduce the amount of computing data, but also improve the effect of filtering algorithm for eliminating the building and vegetation.","PeriodicalId":404001,"journal":{"name":"2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123562969","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

An effective algorithm for lines and polygons overlay analysis using uniform spatial grid indexing 基于均匀空间网格索引的线多边形叠加分析的有效算法

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298048

Shaohua Wang, E. Zhong, Hao Lu, Hui Guo, Liang Long

引用次数: 7

SAR image despeckling with adaptive sparse representation 基于自适应稀疏表示的SAR图像去斑

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298051

Zhenchuan Pang, G. Zhao, Guangming Shi, Fangfang Shen

引用次数: 1

An improved scheme of identifying loops using Lagrangian drifters 利用拉格朗日漂子识别回路的改进方案

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298038

Zhang Liu, Yunyan Du, Kaihui Xu

引用次数: 4

A novel method for spammer detection in social networks 一种新的社交网络垃圾邮件检测方法

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298036

Xueying Zhang, Xianghan Zheng

引用次数: 8

Following soccer fans from geotagged tweets at FIFA World Cup 2014 关注2014年世界杯足球赛的球迷

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298021

Eugenio Cesario, Chiara Congedo, F. Marozzo, Gianni Riotta, A. Spada, D. Talia, Paolo Trunfio, Carlo Turri

引用次数: 23

A binary granular algorithm for spatiotemporal meteorological data mining 时空气象数据挖掘的二元颗粒算法

2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Pub Date : 2015-07-08 DOI: 10.1109/ICSDM.2015.7298016

Hongxia Wang, Jason Yang, Zhiwei Wang, Qiliang Wang

{"title":"A binary granular algorithm for spatiotemporal meteorological data mining","authors":"Hongxia Wang, Jason Yang, Zhiwei Wang, Qiliang Wang","doi":"10.1109/ICSDM.2015.7298016","DOIUrl":"https://doi.org/10.1109/ICSDM.2015.7298016","url":null,"abstract":"This paper introduces the binary granule into the algorithm in computing and mining meteorological data. By redefining the binary algorithm, matching operators, convergence operators, disjunction operators, shift algorithm, and the shielding granule are given based on the binary granule. The function of operators is also explained, then different operators are applied on specific computing methods according to various requirements. Based on the binary granule, the whole sequence match algorithm is put forward, thus space-time efficiency of computing methods can be increased. Based on the knowledge of drought and flood distributions in China, this paper transforms meteorological drought and flood data into event set in the corresponding space and time after they are pre-processed using Standardized Precipitation Index (SPI) algorithm. Made by binary granulation, this event set is changed into the binary granule drought and flood event sets in different spatiotemporal scales. Granule operators are then applied to the whole sequence match algorithm, which describes the measuring module and definition of the whole sequence similarity matching, lastly the match mining is carried out. The result shows that research and application of the algorithm can provide a new method for monitoring and predicting drought and flood events in studying regional and local climate similarity further.","PeriodicalId":404001,"journal":{"name":"2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114373456","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: 4