文章基本信息

标题：Assessing thematic map using sampling technique
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作者：Ali A. Darvishsefat
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1998
卷号：XXXII Part 4
出版社：Copernicus Publications
摘要：The estimation of accuracy of thematic maps derived from remotely sensed data used in conjunction with a geographicinformation system is presented. A systematic random sampling techique is proposed to asses the accuracy. The mainobjective of this work is the determination of the optimal sampling intensity and the appropriate sample size used toassess the accuracy. The data set used is a Landsat-TM scene from three different regions in Mazandaran and Gilanprovinces of Iran. The regions are classified using 9 different approaches and subsequently used as thematic maps.The overall accuracy and kappa coefficient of these results are compared with a complete (100%) ground-truth fromthese regions that are used as a comparison reference.87 sampling networks with intensities ranging from 0.5 - 6% and the systematic random sample plots, each measuringbetween 900–32’400 square meters are prepared in raster format. These networks are overlaid with the thematic mapsand the reference ground-truth to obtain the final results. These results are then compared using matrices which containinformation such as the overall accuracy and the kappa coefficient. The estimated sample accuracy is then comparedwith the real accuracy.The results of this research indicate that through sample ground-truth with 2% intensity in a systematically randomtechnique and appropriate sample size, considering diversity and uniform phenomena in a region, we can estimaterelatively accurate (± 4-6%) the accuracy of thematic maps, prior to use in GIS-database. PC Arc/Info and IDRISI arethe main data analysis packages used for this work.