Comparison of positioning accuracy of a rigorous sensor model and two rational function models for weak stereo geometry

Hexagon satellite data acquired as a part of USA Corona program has been declassified and is accessible to general public. This image data was acquired in high resolution much before the launch of civilian satellites. However the non availability of interior and exterior orientation parameters is the main bottle neck in photogrammetric processing of this data. In the present study, an attempt was made to orient and adjust Hexagon stereo pair through Rigorous Sensor Model (RSM) and Rational Function Models (RFM). The study area is part of Western Ghats in India. For rigorous sensor modelling an arbitrary camera file is generated based on the information available in the literature and few assumptions. A terrain dependent RFM was generated for the stereo data using Cartosat-1 reference data. The model accuracy achieved for both RSM and RFM was better than one pixel. DEM and orthoimage were generated with a spacing of 50 m and Ground Sampling Distance (GSD) of 6 m to carry out the change detection with a special emphasis on water bodies with reference to recent Cartosat-1 data. About 72 new water bodies covering an area of 2300 hectares (23 sq. km) were identified in Cartosat-1 orthoimage that were not present in Hexagon data. The image data from various Corona programs like Hexagon provide a rich source of information for temporal studies. However photogrammetric processing of the data is a bit tedious due to lack of information about internal sensor geometry.

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The pre-launch distortion definition of SIMBIO-SYS/STC stereo camera by rational function models

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave ◽

10.1117/12.2313778 ◽

2018 ◽

Cited By ~ 2

Author(s):

Emanuele T. Simioni ◽

Vania Da Deppo ◽

Cristina Re ◽

Alessandra Slemer ◽

Gabriele Cremonese ◽

...

Keyword(s):

Rational Function ◽

Stereo Camera ◽

Definition Of ◽

Function Models

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A comparison of rigorous sensor model and rational function model for DEM generation from stereo SPOT images

KSCE Journal of Civil Engineering ◽

10.1007/bf02829154 ◽

2002 ◽

Vol 6 (3) ◽

pp. 321-327 ◽

Cited By ~ 2

Author(s):

Ki Won Ahn ◽

Byung Uk Park ◽

Gun Gi Lee ◽

Doo Chun Seo

Keyword(s):

Rational Function ◽

Function Model ◽

Sensor Model

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ORTORECTIFICATION OF SPOT-4 DATA USING RATIONAL POLYNOMIAL COEFFICIENTS

International Journal of Remote Sensing and Earth Sciences (IJReSES) ◽

10.30536/j.ijreses.2012.v9.a1827 ◽

2012 ◽

Vol 9 (1) ◽

Author(s):

Danang Surya Candra

Keyword(s):

Satellite Orbit ◽

Parallel Projection ◽

Mean Square ◽

Approximation Model ◽

Positioning Accuracy ◽

Projection System ◽

Polynomial Coefficients ◽

Sensor Model ◽

Rational Polynomial ◽

Physical Sensor

Orthorectification of satellite imagery can be done in two ways i.e., rigorous sensor model and the approximation model of the satellite’s orbit. Dependence on physicalparameters, to make rigorous sensor model is more complicated and difficult to apply. The approximation model can be either Rational Polynomial Coefficients (RPC) model or parallel projection system. RPC is a mathematical model which is not depends on the sensor. It is used to improve the positioning accuracy when the parameter of the physical sensor model is unknown. This study assessed orthorectification of SPOT-4 using the RPC model with 7 coefficients. Root Mean Square Error (RMSE) of GCPs obtained from the study was less than 1 pixel. RPC did not depend on physical and satellite orbit parameters. Thus the RPC was simpler and easier to apply.

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