Title | ||
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Satellite Images Geometric Correction Based On Non-Parametric Algorithms And Self-Extracted Gcps |
Abstract | ||
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The geometric correction of high resolution satellite images can be carried out through generic non-parametric models that relates image to terrain coordinates. Traditional approaches to image geocoding relies on the measurement of a sufficient number of GCPs in both the ground and the image reference systems. Non-parametric models require a large number of GCPs well distributed on the whole scene, but the GCP identification and collection is a widely time-consuming operation and not always a simple task. Authors have developed two procedures for geometric correction based respectively on the Rational Function Model (RFM) and on a new neural network approach (MLP, Multi Layer Perceptron), and a procedure for automatic Ground Control Points (GCPs) extraction (AGE, Automatic GCPs Extraction) by means of a multi-resolution Least Squares Matching technique. This paper concerns about a new orthorectification procedure based on the sequential application of AGE, MLP and RFM algorithms for georeferencing high resolution satellite images. Tests have been carried out on Eros-A1 satellite images, using as reference maps available aerial orthoimages at a map scale of 1:10,000. A Case study is presented. |
Year | DOI | Venue |
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2004 | 10.1109/IGARSS.2004.1369939 | IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET |
Keywords | Field | DocType |
high resolution, remote sensing, self-extracted ground control points, rational function model, neural network | Scale (map),Computer science,Remote sensing,Terrain,Artificial intelligence,Artificial neural network,Iterative reconstruction,Computer vision,Satellite,Geocoding,Algorithm,Image resolution,Orthophoto | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marco Gianinetto | 1 | 36 | 9.44 |
Marco Scaioni | 2 | 97 | 16.34 |
Enrico Borgogno Mondino | 3 | 9 | 3.29 |
Fabio Giulio Tonolo | 4 | 11 | 3.03 |