ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 77-82, 2016
https://doi.org/10.5194/isprs-annals-III-1-77-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
01 Jun 2016
RPC STEREO PROCESSOR (RSP) – A SOFTWARE PACKAGE FOR DIGITAL SURFACE MODEL AND ORTHOPHOTO GENERATION FROM SATELLITE STEREO IMAGERY
R. Qin 1Dept. of Civil, Environmental and Geodetic Engineering, the Ohio State University (OSU), 2070 Neil Ave., Columbus, OH, USA
2Dept. of Electrical Computer Engineering, OSU, 2015 Neil Ave., Columbus, OH, USA
Keywords: Rational Polynomial Coefficients, Space borne stereo images, Semi-global Matching, Point clouds, Digital Surface Models, Orthophoto Abstract. Large-scale Digital Surface Models (DSM) are very useful for many geoscience and urban applications. Recently developed dense image matching methods have popularized the use of image-based very high resolution DSM. Many commercial/public tools that implement matching methods are available for perspective images, but there are rare handy tools for satellite stereo images. In this paper, a software package, RPC (rational polynomial coefficient) stereo processor (RSP), is introduced for this purpose. RSP implements a full pipeline of DSM and orthophoto generation based on RPC modelled satellite imagery (level 1+), including level 2 rectification, geo-referencing, point cloud generation, pan-sharpen, DSM resampling and ortho-rectification. A modified hierarchical semi-global matching method is used as the current matching strategy. Due to its high memory efficiency and optimized implementation, RSP can be used in normal PC to produce large format DSM and orthophotos. This tool was developed for internal use, and may be acquired by researchers for academic and non-commercial purpose to promote the 3D remote sensing applications.
Conference paper (PDF, 1644 KB)


Citation: Qin, R.: RPC STEREO PROCESSOR (RSP) – A SOFTWARE PACKAGE FOR DIGITAL SURFACE MODEL AND ORTHOPHOTO GENERATION FROM SATELLITE STEREO IMAGERY, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 77-82, https://doi.org/10.5194/isprs-annals-III-1-77-2016, 2016.

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