Volume 37 Issue 9
Sep.  2012
Turn off MathJax
Article Contents
Abstract
Related Articles
WENG Jie, GUO Qingsheng, WANG Xiaoyan, LIU Peng. An Improved Algorithm for Combination of Land-Use Data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1116-1119.
Citation: WENG Jie, GUO Qingsheng, WANG Xiaoyan, LIU Peng. An Improved Algorithm for Combination of Land-Use Data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1116-1119.
shu

An Improved Algorithm for Combination of Land-Use Data

  • 1 School of Resource and Environmental Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2 Key Laboratory of Geography Information System,Ministry of Education,Wuhan University, 129 Luoyu Road,Wuhan 430079,China;3 Institute of Information Science and Technology,Yanshan University,438 West Hebei Street,Qinhuangdao 066004,China

Funds: 国家自然科学基金资助项目(41071289,41171350)
More Information
  • Received Date: June 18, 2012
  • Published Date: September 04, 2012
    Graphical Abstract
    • Abstract
  • We propose an improved algorithm of combination(aggregation and amalgamation) of parcels on the point of computational geometry.Aggregation is done with the concept of buffer,by which the so-called bridge can be merged efficiently,while amalgamation is done using skeleton.The process of amalgamation is influenced by both the curves shared by parcels and the types of the parcels.After being splitted by skeleton,the chosen parcel derives a set of polygons to be combined by the neighbor parcels one by one.This algorithm keeps the natural shape of parcels,and has taken the amount of the father level of shown parcels into account.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]WANG Yu, YANG Liping, REN Jie, ZHANG Jing, KONG Jinling, HOU Chenglei. An Oasis Soil Moisture Inversion Model Using ALOS-2 and Landsat 8 Data[J]. Geomatics and Information Science of Wuhan University, 2024, 49(9): 1630-1638. DOI: 10.13203/j.whugis20220008
    [2]LI Pingxiang, LIU Zhiqu, YANG Jie, SUN Weidong, LI Minyi, REN Yexian. Soil Moisture Retrieval of Winter Wheat Fields Based on Random Forest Regression Using Quad-Polarimetric SAR Images[J]. Geomatics and Information Science of Wuhan University, 2019, 44(3): 405-412. DOI: 10.13203/j.whugis20160531
    [3]LIANG Yong, YANG Lei, WU Qiulan, HONG Xuebao, HAN Moutian, YANG Dongkai. Simulation of Soil Roughness Impact in GNSS-R Soil Moisture Retrieval[J]. Geomatics and Information Science of Wuhan University, 2018, 43(10): 1546-1552. DOI: 10.13203/j.whugis20160557
    [4]CHEN Tieqiao, LIU Jiahang, ZHU Feng, WANG Yihao, LIU Jia, CHEN Jie. A Novel Multi-radius Neighborhood Rough Set Weighted Feature Extraction Method for Remote Sensing Image Classification[J]. Geomatics and Information Science of Wuhan University, 2018, 43(2): 311-317. DOI: 10.13203/j.whugis20150290
    [5]XU Feng, NIU Jiqiang, LI Zhuofan. Quantitative Evaluation Model of the Uncertainty of Multi-granularity Space Direction Relations Based on Rough-Set[J]. Geomatics and Information Science of Wuhan University, 2015, 40(7): 971-976. DOI: 10.13203/j.whugis20130126
    [6]YU Fan, LI Haitao, ZHANG Chengming, WAN Zi, LIU Jiang, ZHAO Ying. A New Approach for Surface Soil Moisture Retrieving UsingTwo-polarized Microwave Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2014, 39(2): 225-228. DOI: 10.13203/j.whugis20120527
    [7]ZHANG Xianfeng, ZHAO Jiepeng. System for Soil Moisture Retrieval and Data Assimilation from Remotely Sensed Data in Arid Regions[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 794-799.
    [8]YU Liang, BIAN Fuling. Application of Rough Set-Based Neural Network in Forest Fire Alarm[J]. Geomatics and Information Science of Wuhan University, 2006, 31(8): 720-723.
    [9]LI Dingfang, ZHANG Wen, NIU Yanqing. Rough Set Based Missing Data Rotative Reconstruction Algorithms[J]. Geomatics and Information Science of Wuhan University, 2005, 30(11): 1016-1019.
    [10]Sun Lixin, Gao Wen. Hyperspectral Band Set Global Reduction Based on Rough Sets and Genetic Algorithm[J]. Geomatics and Information Science of Wuhan University, 1999, 24(4): 306-311.

Catalog

    Get Citation
    PDF
    XML
    Article views PDF downloads Cited by()
    Related

    Copyright © 2013 《武汉大学学报·信息科学版》编辑部

    Address：武汉大学文理学部本科生院楼北5楼Post Code：430072

    Tel：027-68778465,68788631E-mail:whuxxb@vip.163.com

    Submit Article

    Submission Guidelines

    e

    Contact Us

    Qrcode

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return