Research On The Smallest Area Of Map SPOT Of High-resolution Remote Sensing Image

Since its introduction, the remote sensing technology has been rapid development，Improvement of spatial resolution and mapping accuracy. The minimum area ofpolygons on the Remote sensing image can be identified also getting smaller andsmaller，But now no systematic study on the minimum polygon area accuracy. Thesecond national land investigation have been completed using the SPOT-5spatialresolution of2.5meters of images as basis for the production of Digital OrthophotoMap. The technical specification of the investigation of land use situation, all classes arespecified minimum area on map. The smallest residents at the minimum area on map is4mm2, graph on farmland and garden area is6mm2, the minimum of forest land area is15mm2. On the provisions of the minimum on figure spot area the same as the firstnational survey carried out in the1980s, did not improve with the improvement ofremote sensing spatial resolution. Especially the successful launching of Quick Birdsatellite（the image spatial resolution of0.61meters）,it develops the application ofremote sensing technique to the field of the application of remote sensing technology,enhance the depth and accuracy. Then with the improvement of spatial resolution, theprovisions of the minimum on figure spot area is compatible with the accuracy now?This article based on the above and commenced the study.At present Figure spot area precision of orthophoto map is lack of systematicresearch. The size of the polygon have effect on area accuracy, and there are certainrules. Depending on the spatial resolution, the smallest identifiable area of polygons aredifferent, the error of their area is also different. This paper attempts to analysis on classresolution of different spatial resolution remote sensing image, and the minimumrecognizable map spot area precision of Digital Orthophoto Map. Application therelative error formula of area, combined with limit of resolution ratio of human eye,weight of land category map load and comprehensive analysis on polygon areaprecision. Explore the minimum on figure spot area of multi-source remote sensingimage, and to verify the feasibility of the conclusions.