Research On Topography Factors Of Remote Sensing Data Accuracy

Recently, satellite remote sensing technology has been applied in many fields such as politics,economy, military and society, change the production and lifestyle, creating new industries, apowerful tool for promoting modernization. Especially in recent years, the rapid development ofsatellite remote sensing technology have achieved remarkable social and economic benefits.Accuracy analysis of remote sensing data classification process is an indispensable work. There arethree classification forms, these are position accuracy, type accuracy and amount of precisionaccuracy. Position accuracy (positioning accuracy) Means the difference in the position correspondsthe spatial coordinates in reference to FIG taxon.Types of precision (qualitative accuracy) is thepixel classification type and the actual type of the pixel classification accuracy compared degree;quantity precision (quantitative accuracy) is the result of certain categories (or classes) the numberand class (or classes) close to the actual number of degree. Position accuracy errors main comefrom the projector of remote sensing data itself and projected.Many factors affect the accuracy of remote sensing images, for example the resolution remotesensing data, remote sensing data processing review process Etc. Image resolution is a major factoraffecting the accuracy of information extraction image change, Different resolution images reflectthe degree for the change information is different, the smallest resolvable feature scales of Differentresolution images is also different. The greater of the Resolution difference, the smallest resolvablescale difference. there are also many factors that affect remote sensing data processing such astopography, the distribution of the control points, the polynomial model registration number, etc.This paper mainly research effects of topography for the accuracy of remote sensing images. Thereare several groups remote sensing data use to this paper.every group data have the same resolutioncome from the same area in different years.These remote sensing data all through the same processthen Analyze and draw conclusions.Article Summary（1）Jining, belongs to the plains, flat terrain, topography is very small, remote sensing images’geometric accuracy is very high（2）Qianxi belongs to the hilly regions, there is a certain undulating terrain, the remote sensingimage’ geometric accuracy is lower than Jining’s. （3）Xinyang’s central study area also belongs to the hilly terrain, but the complexity of the terrain islarger than QianXi, so the geometric precision of remote sensing image is lower than Qianxi.（4）Hanyuan belong mountains, the terrain is greater than the above three regions, the geometricprecision of remote sensing images is also the lowest.（5）Through a separate study of four research areas and comprehensive analysis, the topography hasa great impact on the geometric accuracy of remote sensing images, the greater the complexity of thetopography and terrain, the smaller the geometric precision of remote sensing images, Flat terrainimagery geometric area, the greater the accuracy.