Generating Accurate Digital Elevation Model from IRS-P5 Satellite images with no Ground Control Points

Generating and modifying spatial data for strategic areas of the country, especially boundary areas, is one of the key challenges in the defense technical information community. In this regard, digital elevation model (DEM) can be utilized to remove every ground operations in a direct process between the earth and overlapping satellite images. In this process, rational polynomial function (RPCs) are only used. However, these coefficients due to some errors in their gathering have some errors that must be removed in a manner. In proposed method of this study, the effects of RPC errors on IRS-P5 satellite images are reduced using the 2.5D matching procedure between IRS-P5 derived DEM and ASTER global DEM. Experimental results obtained by comparison between the resulting DEM and few available check points shows that the proposed method can achieve vertical accuracy of about 7 meter