地球空间信息科学学报:英文版 · 2010年第4期243-248,共6页

Improvement of User's Accuracy Through Classification of Principal Component Images and Stacked Temporal Images

作者:Nilanchal Patel Brijesh Kumar Kaushal

摘要:The classification accuracy of the various categories on the classified remotely sensed images are usually evaluated by two different measures of accuracy,namely,producer's accuracy(PA) and user's accuracy(UA).The PA of a category indicates to what extent the reference pixels of the category are correctly classified,whereas the UA of a category represents to what extent the other categories are less misclassified into the category in question.Therefore,the UA of the various categories determines the reliability of their interpretation on the classified image and is more important to the analyst than the PA.The present investigation has been performed in order to determine if there occurs improvement in the UA of the various categories on the classified image of the principal components of the original bands and on the classified image of the stacked image of two different years.We performed the analyses using the IRS LISS III images of two different years,i.e.,1996 and 2009,that represent the different magnitude of urbanization and the stacked image of these two years pertaining to Ranchi area,Jharkhand,India,with a view to assessing the impacts of urbanization on the UA of the different categories.The results of the investigation demonstrated that there occurs significant improvement in the UA of the impervious categories in the classified image of the stacked image,which is attributable to the aggregation of the spectral information from twice the number of bands from two different years.On the other hand,the classified image of the principal components did not show any improvement in the UA as compared to the original images.

发文机构:Department of Remote Sensing

关键词:分类精度用户主成分城市化进程意象时空堆积影像producer's accuracyuser's accuracyprincipal componentsclassificationstacked image

分类号: P642.23[天文地球—工程地质学][天文地球—地质矿产勘探][天文地球—地质学]TP751[自动化与计算机技术—控制科学与工程][自动化与计算机技术—检测技术与自动化装置]

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