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：2006
卷号：XXXVI Part 4
出版社：Copernicus Publications
摘要：This research presents and exposes advantages of using multi-dates images to classify and mapping reforested area in the Kordkoy, north of Iran. Three multi-dates ETM+ images from first and middle of spring 2001 and middle of summer 2000 were selected to classify and mapping reforested classes. The images geo-referenced using GCPs and registered by image to image method with total RMSe less than 0.5 pixels. In order to compare the single date images with multi-dates images, classification was done with each single date images separately. In addition, classification was done using multi-dates images produced by two methods, temporal principal component analysis and mathematical transformation. Classification was accomplished using six bands of both methods separately. A ground truth map of classes assessed results, which was produced by ortho-photo-mosaic of 1:40000 scale aerial photos. Results showed that overall accuracy of classification results of single date images were computed about 80 % for middle of spring and 76 % for middle of summer, respectively. Accuracy assessment of classification results using six bands of mathematical method was showed none improvement compared with single date images (79 %). Using PCA components generated from same bands in the classification was leaded a considerable improvement in overall accuracy about 7 percent (84%) and about 0.09 increasing in kappa coefficient (0.77) against single dates. The results of this study also showed that the summer data could not classify the reforested classes. This research exposed that using multi-dates images from different dates could better classify reforested classes than single date images. The results also showed that the PCA analysis could be introduced as suitable method to integrate multi-dates images and to classify reforested area with different vegetation covers. Using other techniques could be examined to improve the results
