عنوان پایان‌نامه
تناظر یابی عوارض برداری خطی به روش استنتاج فازی در پایگاه داده مکا نی چند مقیاسی
- رشته تحصیلی
- مهندسی عمران-سیستمهای اطلاعات جغرافیایی(GIS)
- مقطع تحصیلی
- کارشناسی ارشد
- محل دفاع
- کتابخانه مرکزی پردیس 2 فنی شماره ثبت: 3040;کتابخانه مرکزی -تالار اطلاع رسانی شماره ثبت: 70097
- تاریخ دفاع
- ۱۴ شهریور ۱۳۹۴
- دانشجو
- علی دهقانی تفتی
- استاد راهنما
- رحیم علی عباسپور
- چکیده
- امروزه با افزایش روزافزون استفاده مدیران وکارشناسان از سیستم های اطلاعات مکانی در جهت انچام تحلیل های مکانی و تصمیم گیری کارآمد نیازبه تولید داده های مکانی مختلف نیز رو به فزونی یافته است.
- Abstract
- Abstract: In the recent years, with the increasing use of GIS to conduct spatial analysis and efficient decision-making by managers and specialists, the necessity of generating different spatial data is growing. In this regard, organizations and institutions collect and prepare different data, according to their requirements. This sometimes leads to create datasets with different scales in the same area that they are often stored separately from each other and integration is merely carried out visually or by geometric overlay. Furthermore, datasets are rarely combined in order to be interchanged and transmitted. A promising solution to manage different datasets in every aspect of maintenance, support, exploitation, cartography, analysis, auto-updating, and supervising their accuracy is integration them in a multi-scale database. One of the main steps in generating and utilizing data in a MSDB is producing automatic connections between correspond objects. This is possible by corresponding datasets. The base concepts of this process is detecting and measuring the spatial similarity between various objects, which is different from one application to the others and depends largely on the intrinsic properties of the input data. In fact, spatial similarity index which is a function of other criteria (geometric, topological, and semantic) has uncertainty and spatial similarity in data matching cannot be certain. Therefore, the aim of this study is to provide a matching algorithm based on fuzzy reasoning while considering human spatial perception and therefore, spatial similarity of object is also closer to reality. In order to achieve the main objective of the research (matching of linear vector objects in a multi-scale database using fuzzy reasoning) matching process is done in several stages. At the first step, the structure of two datasets is unified and GIS-ready data is produced by eliminating different errors and then road network structure is formed. In the second step, by considering the length and azimuth difference as geometric parameters and the difference valence of nodes as topological parameters, an iterative process based on fuzzy reasoning algorithm is proposed. In the third step, the proposed algorithm runs on the two road datasets of Yazd city in Iran in 1:5000 and 1:25000 scales map. At the final step, evaluation results shows that matching rate and accuracy of the algorithm respectively is 92.7 and 88, respectively which validates the appropriate function of the proposed algorithm in matching. Keywords: Matching features, Spatial similarity, Multi-scale Database, Fuzzy reasoning.
