文章基本信息

标题：Accuracy Evaluation of Digital Surface Model by Using ALOS PRISM Data for Disaster Monitoring
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作者：Kyaw Sann Oo ; Takahiro Nakagawa ; Masataka Takagi 等
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 Part B4
页码：1383-1388
出版社：Copernicus Publications
摘要：The need of accurate measurement is a tactical objective to produce precise information in disaster monitoring. A small movement of land could be a prior index to the biggest landslide. The biggest disasters can lead by a small unnoticeable changes. The measurement of 3 dimensional surfaces changes could be calculated accurately using very high resolution satellite stereo images. The availability of short-time periodic satellite's stereo-pair images are benefits to investigate the land movements when the images had acceptable accuracy. Vendors are providing camera replacement models with a set of rational polynomial coefficients (RPCs) to replace physical camera models for registration improvement. Fraser & Hanley (2003) represented that no loss in accuracy is to be expected when bias corrected RPCs are used for georeferencing. Even if RPC coefficients are provided by vendors, those are not enough to investigate small changes of land-form, slope displacements. Thus, we should be applied a pliant sensor model based on very accurate ground control points (GCP). First of all, high resolution digital surface model (DSM) is generated from ALOS PRISM triplet images; resulting X=0.97, Y=0.99 and Z=1.85 pixels in accuracy. This result was produced by stereo matching between nadir and backward looks. Finally, the accuracy evaluation of 3D measurement is conducted based on selected check points (CP). Afterall, error vectors will be produced by validating with Airborne Laser Scanner DSM data. Even though the result measurement will be biased with some errors, the future work could be improved by matching a series of triplet images
关键词：Remote Sensing; DSM; Image Matching; Accuracy Measurement; Georeferencing; Disaster Monitoring