AN ACCURACY ASSESSMENT OF DSMS AND ORTHOIMAGES DERIVED FROM ALOS/PRISM AND THEIR AVAILABILITY IN FORESTRY
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 PRISMDSMs and orthoimages and to make an accuracy assessment of them. The second purpose is the examination of the availability of PRISMDSMs and orthoimages in forestry. As a result, the following facts were found. The divergence between a PRISMDSM 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 PRISMDSM 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 PRISMDSM is also dependent on that. Providing one GCP for adjustment can stabilize the accuracy of a PRISM DSM and an orthoimage. And the created PRISMDSM well represent contours of buildings and small corrugations of mountainous areas. Concerning the second purpose, the created PRISMDSM 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.
Satellite Automation Image Matching DEM/DTM Orthoimage Accuracy Forestry
Y.Imai Y.Akamatsu M.Mori N.Shirai M.Maruya H.Ohyama
Kokusai Kogyo Co., Ltd., 2-24-1 Harumi-cho, Fuchu-shi, Tokyo, Japan NEC Corporation, 1-10 Nisshin-cho, Fuchu-shi, Tokyo, Japan
国际会议
北京
英文
9231-9235
2008-07-03（万方平台首次上网日期，不代表论文的发表时间）