GIS and Remote Sensing

Biography

Biography: Abolfazl Abdollahi

Abstract

By the rapid advances of spatial data collection techniques and growth of the Internet, a lot of geographic data are now easily available on the web. But the widespread volume of map data available with low-resolution techniques have been developed in previous years. While a large amount of descriptive characteristics over time have been attributed to the map data, their geometry are not precisely fit the needs of the day. However, new techniques have been developed to obtain geometric data with higher accuracy. In this regard, the opportunity to enhance the geometric accuracy of the vector data map maintains the descriptive data associated with it is needed. In fact, the integration of spatial data in GIS is one of the main issues. In this study, a new method conflating vector data with image is presented. This method uses a variety of algorithms for automatic extraction of image pixels, identify the intersection and the end and beginning of points, match points and eventually Rubber-Sheeting method for transmission of vector data on new control points on were found on image then the conflating is used. By examining the RMSE error amounts, can realized to a major role Rubber-Sheeting can reduce the error rate and the proper functioning of the conflated vector data with image. So that the RMSE error before conflating process 839/11, and then reduced to the 124/4 meters. This shows that the algorithm used to conflating process improve the accuracy and have high-performance in conflating process.