Method for updating IKONOS RPC data by additional GCP
First Claim
1. A method for updating IKONOS rational polynomial coefficient (RPC) data by using a small number of ground control points (GCPs), the method including the steps of:
- (a) receiving the RPC data and coordinate values of the GCPs;
(b) calculating an error of the RPC data;
(c) calculating weights of pseudo ground control points (pseudo GCPs), wherein the pseudo GCPs are extracted from the RPC data in 3D normalized cubic;
(d) calculating weights of the GCPs;
(e) generating a 3D normalized space and extracting 3D normalized coordinate values of the GCPs and the pseudo GCPs;
(f) creating a rational functional model (RFM) observation equation by using the GCPs and the pseudo GCPs and updating the RPC data by a least square technique.
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Abstract
More precise topology information can be extracted from satellite images by improving the accuracy of RPC parameter data for a RFM sensor model by using only a small number of GCPs. That is, the number of GCPs required for extracting the topology information can be reduced by generating pseudo GCPs from the RPC data or composing a parameter observation equation by using the RPC data. Therefore, costs and time for actually measuring GCPs can be saved. Furthermore, since the present invention utilizes the RFM sensor model using RPC files, a new sensor model need not be required.
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Citations
10 Claims
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1. A method for updating IKONOS rational polynomial coefficient (RPC) data by using a small number of ground control points (GCPs), the method including the steps of:
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(a) receiving the RPC data and coordinate values of the GCPs;
(b) calculating an error of the RPC data;
(c) calculating weights of pseudo ground control points (pseudo GCPs), wherein the pseudo GCPs are extracted from the RPC data in 3D normalized cubic;
(d) calculating weights of the GCPs;
(e) generating a 3D normalized space and extracting 3D normalized coordinate values of the GCPs and the pseudo GCPs;
(f) creating a rational functional model (RFM) observation equation by using the GCPs and the pseudo GCPs and updating the RPC data by a least square technique. - View Dependent Claims (2, 3, 4)
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5. A method for updating IKONOS rational polynomial coefficient (RPC) data by using a small number of ground control points (GCPs), the method comprising the steps of:
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(a) receiving the RPC data and coordinate values of the GCPs;
(b) calculating an error of the RPC data;
(c) calculating a weight of the RPC data;
(d) calculating weights of GCPs;
(e) creating a rational function model (RFM) observation equation by using the GCPs;
(f) creating a parameter observation equation by using the RPC data; and
(g) updating the RPC data by a least square technique through the use of the RFM observation equation and the parameter observation equation. - View Dependent Claims (6, 7, 8, 9, 10)
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Specification