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：2008
卷号：XXXVII-B8
页码：1021-1026
出版社：Copernicus Publications
摘要：ALOS PRISM is designed to gather 2.5m resolution triplet images to obtain accurate terrain data. The PRISM triplet images are expected to be used for generating high-precision stable Digital Surface Models (DSMs). In this study, we set two purposes. The first purpose is to generate PRISM_DSMs and orthoimages and to make an accuracy assessment of them. The second purpose is the examination of the availability of PRISM_DSMs and orthoimages in forestry. As a result, the following facts were found. The divergence between a PRISM_DSM and a LIDAR_DSM can stay within the standard deviation of 10 m in the vertical direction by adopting the bias correction. The orthoimages made from a PRISM nadir image and a created PRISM_DSM can stay within the standard deviation of 5 m in the horizontal direction. The image matching correlation differs depending on the topographical condition of the object area and the quality of the PRISM_DSM is also dependent on that. Providing one GCP for adjustment can stabilize the accuracy of a PRISM_DSM and an orthoimage. And the created PRISM_DSM well represent contours of buildings and small corrugations of mountainous areas. Concerning the second purpose, the created PRISM_DSM was ranked between the 50m mesh DEM, which was made from a 1/25000 topographic map and published from Japanese Geographical Survey Institute (GSI), and the LIDAR data, proving to be useful for tree height estimation and forest type classification in wide areas
