2003
DOI: 10.14358/pers.69.1.59
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Block Adjustment of High-Resolution Satellite Images Described by Rational Polynomials

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Cited by 471 publications
(369 citation statements)
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“…According to Toutin (2004), the simultaneous solution of an entire image block offers several advantages, for example the number of GCPs can be reduced, better relative accuracy between images can be obtained and finally more homogeneous orthoimages over large areas can be produced. Satellite sensor models described by rational polynomial coefficients (RPC) provide a high potential of simple and accurate geopositioning (Fraser et al, 2006), are ideally suited for block adjustment of narrow field of view sensors (Grodecki and Dial, 2003), but require some bias correction (Fraser and Ravanbakhsh, 2009), and generally serve only as an approximation of physical sensor models when orbital information is not provided in the metadata (Poli and Toutin, 2012). We performed block adjustment and subsequent orthorectification using our own ground control within the Rational Functions model (RPC-based) in OrthoEngine.…”
Section: Multisensor Block Adjustmentmentioning
confidence: 99%
“…According to Toutin (2004), the simultaneous solution of an entire image block offers several advantages, for example the number of GCPs can be reduced, better relative accuracy between images can be obtained and finally more homogeneous orthoimages over large areas can be produced. Satellite sensor models described by rational polynomial coefficients (RPC) provide a high potential of simple and accurate geopositioning (Fraser et al, 2006), are ideally suited for block adjustment of narrow field of view sensors (Grodecki and Dial, 2003), but require some bias correction (Fraser and Ravanbakhsh, 2009), and generally serve only as an approximation of physical sensor models when orbital information is not provided in the metadata (Poli and Toutin, 2012). We performed block adjustment and subsequent orthorectification using our own ground control within the Rational Functions model (RPC-based) in OrthoEngine.…”
Section: Multisensor Block Adjustmentmentioning
confidence: 99%
“…Image orientation was provided by the rational polynomial coefficients (RPCs) originating from star tracker observations and satellite ephemeris (Fraser et al 2006). This geometric relationship is expressed by 80 coefficients (Grodecki and Dial 2003). To improve image orientation, ground control points (GCPs) were measured by GPS (Trimble Geoexplorer XH 2005) with an accuracy of 610 cm (standard deviation) after differential correction.…”
Section: Image Source Characteristics and Orientationmentioning
confidence: 99%
“…This method is directly related to the geometric properties of the sensor. In the original paper that describes this technique, the authors consider the physical features of Ikonos sensor, but it is demonstrated that it could be used for any sensor with a stable calibration on its interior orientation, a priori corrected exterior orientation and a narrow field of view [22].…”
Section: Bundle Block Adjustmentmentioning
confidence: 99%
“…For this reason, a series of mismatches in the image need to be corrected by the introduction of two parameters, the line parameter and sample parameter. These two include effects of orbit, attitude and residual interior orientation errors in line direction, for the first one, and sample direction for the second one [22].…”
Section: Bundle Block Adjustmentmentioning
confidence: 99%