Automated Geometric Correction of High-resolution Pushbroom Satellite Data
In this article, we present the use of the Automatic Ground control points Extraction technique (AGE) for increasing the automation in the geometric correction of high-resolution satellite imagery. The method is based on an image-to-image matching between the satellite data and an
already geocoded image (i.e., a digital orthophoto). By using an adaptive least squares matching algorithm which implements a very robust outlier rejection technique, AGE can automatically measure many hundreds of topographic features (TFs) on the images, whose cartographic coordinates are
derived from the geo-coded image and elevations are extracted from an associated digital elevation model (DEM). The AGE technique has been tested for different high-resolution data: (a) 0.62-meter QuickBird panchromatic data (basic imagery processing level), (b) 2.5-meter SPOT-5/HRG panchromatic
supermode data (standard 1B processing level), and (c) 1-meter Ikonos panchromatic data (standard Geo product processing level) collected in the Northern of Italy, both in flat (Torino Caselle test site) and mountain areas (Lecco test site). Regardless the relative image resolution between
the satellite and the aerial data (1-meter) and regardless the processing level of the original satellite data, a similar TFs density has been obtained for both the QuickBird and the SPOT-5/HRG data (4.4 GCPs/km2 and 4.1 GCPs/km2) respectively, with a geometric accuracy
for the GCPs extracted of 0.90 m for QuickBird and 3.90 m for SPOT-5/HRG. For the Ikonos imagery, AGE extracted a more dense set of GCPs (8.7 GCPs/km2) but with a lower accuracy (3.19 m). The TFs identified with AGE can be used as GCPs for the rational polynomial coefficients (RPCs)
computation and, therefore, for implementing a full automatic orthoimage generation procedure. By using the commercial off-the-shelf software PCI Geomatica® v.9.1, orthoimages have been generated for all datasets. The geometric accuracy was verified on a set of 30 manually measured
independent check points (CPs) and assessed a precision of 4.99 m RMSE for QuickBird, 5.99 m RMSE for SPOT-5/HRG, and 8.65 m RMSE for Ikonos. The use of a non-conventional image orthorectification technique implementing a neural network GCPs regularization, tested for the SPOT-5/HRG data,
showed the full potential of the AGE method, allowing to obtain a 3.83 m RMSE orthoprojection in a fully automated way.
Document Type: Research Article
Publication date: 01 January 2008
- The official journal of the American Society for Photogrammetry and Remote Sensing - the Imaging and Geospatial Information Society (ASPRS). This highly respected publication covers all facets of photogrammetry and remote sensing methods and technologies.
Founded in 1934, the American Society for Photogrammetry and Remote Sensing (ASPRS) is a scientific association serving over 7,000 professional members around the world. Our mission is to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS), and supporting technologies. - Editorial Board
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