Abstract
Abstract. In this paper, we present a method to improve the accuracy of a digital surface model (DSM) by utilizing multi-temporal triplet images. The Advanced Land Observing Satellite (ALOS) / Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) measures triplet images in the forward, nadir, and backward view directions, and a DSM is generated from the obtained set of triplet images. To generate a certain period of DSM, multiple DSMs generated from individual triplet images are compared, and outliers are removed. Our proposed method uses a traditional surveying approach to increase observations and solves multiple observation equations from all triplet images via the bias-corrected rational polynomial coefficient (RPC) model. Experimental results from using five sets of PRISM triplet images taken of the area around Saitama, north of Tokyo, Japan, showed that the average planimetric and height errors in the coordinates estimated from multi-temporal triplet images were 3.26 m and 2.71 m, respectively, and that they were smaller than those generated by using each set of triplet images individually. As a result, we conclude that the proposed method is effective for stably generating accurate DSMs from multi-temporal triplet images.
Highlights
Digital surface models (DSMs) and digital elevation models (DE Ms) are widely used for topographic analyses in various fields
We presented a method to improve the accuracy of a DSM by utilizing multi-temporal triplet images
The approach to estimation of object coordinates of each ground point is based on a bias-corrected rational polynomial coefficient (RPC) model
Summary
Digital surface models (DSMs) and digital elevation models (DE Ms) are widely used for topographic analyses in various fields. In the field of disaster mitigation and management, simulations of flood, tsunami, lava flow from volcanoes, and landslide often use DSM or DEM. The simulation of flood and tsunami in relatively flat areas, in particular, requires a highly accurate DSM or DEM, with accuracy needed to within the tens of centimeters. A DSM models the heights of objects on the ground, whereas a DEM models the heights of the ground when objects are virtually removed. Elevation data directly measured or generated from data measured by aerial sensors are equivalent for DSM. Some topographic products derived from satellite and spaceborne imagery are called DEM even though they are equivalent to DSM. Throughout this paper, we follow the terminology used in the literature
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