Generation of Digital Surface Model from High Resolution Satellite Imagery
نویسنده
چکیده
Elevation data is an important component of geospatial database. This paper focuses on digital surface model (DSM) generation from high-resolution satellite imagery (HRSI). The HRSI systems, such as IKONOS and QuickBird have initialed a new era of Earth observation and digital mapping. The half-meter or better resolution imagery from Worldview-1 and the planned GeoEye-1 allows for accurate and reliable extraction and characterization of even more details of the earth surface. In this paper, the DSM is generated using an advanced image matching approach which integrates point and edge matching algorithms. This approach produces reliable, precise, and very dense 3D points for high quality digital surface models which also preserve discontinuities. Following the DSM generation, the accuracy of the DSM has been assessed and reported. To serve both as a reference surface and a basis for comparison, a lidar DSM has been employed in a testfield with differing terrain types and slope.
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