A Strip Adjustment Approach for Precise Georeferencing of ALOS Optical Imagery

Precise georeferencing is one of the prerequisites for orthoimage generation from high-resolution satellite imagery. This requires the availability of a small number of GCPs that have to be visible in each scene. In this paper, it is shown how the number of GCPs required for the precise georeferencing of Advanced Land Observation Satellite (ALOS) imagery can be reduced by up to 90% using a generic pushbroom sensor model and strip adjustment while still achieving an accuracy of better than 1 pixel. A fully automatic work flow requiring an existing digital orthophoto and a digital elevation model (DEM) is also presented. Using an orthophoto mosaic generated from Landsat-7 panchromatic imagery for automatic GCP measurement, pixel-level accuracy can be achieved for images from the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) instrument. For images from the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM), the accuracy of the automated procedure is only about 2 pixels due to the poor resolution of the orthoimage, compared with PRISM.

[1]  Emmanuel P. Baltsavias,et al.  Multiphoto geometrically constrained matching , 1991 .

[2]  Thierry Toutin Spatiotriangulation with multisensor VIR/SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Gong-Jian Wen,et al.  A High-Performance Feature-Matching Method for Image Registration by Combining Spatial and Similarity Information , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[4]  K. Jacobsen DEM GENERATION BY SPOT HRS , 2004 .

[5]  Liang-Chien Chen,et al.  The Geometrical Comparisons of RSM and RFM for FORMOSAT-2 Satellite Images , 2006 .

[6]  Wolfgang Förstner,et al.  A Framework for Low Level Feature Extraction , 1994, ECCV.

[7]  David A. Clausi,et al.  ARRSI: Automatic Registration of Remote-Sensing Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Ian Dowman,et al.  Comparison of two physical sensor models for satellite images: Position–Rotation model and Orbit–Attitude model , 2006 .

[9]  Wolfgang Pölzleitner,et al.  Image Matching Strategies , 2001, Digital Image Analysis.

[10]  Thierry Toutin Spatiotriangulation With Multisensor , 2006 .

[11]  Dieter Fritsch,et al.  RIGOROUS PHOTOGRAMMETRIC PROCESSING OF HIGH RESOLUTION SATELLITE IMAGERY , 2000 .

[12]  Marco Gianinetto,et al.  Automated Geometric Correction of High-resolution Pushbroom Satellite Data , 2008 .

[13]  C. Fraser,et al.  Sensor orientation via RPCs , 2006 .

[14]  Thierry Toutin Spatiotriangulation with multisensor HR stereo-images , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Ian Dowman,et al.  A Generic Model for Along-track Stereo Sensors Using Rigorous Orbit Mechanics , 2008 .

[16]  Clive S. Fraser,et al.  Development and testing of a generic sensor model for pushbroom satellite imagery , 2008 .

[17]  Jagjeet Singh Nain,et al.  LONG STRIP MODELLING FOR CARTOSAT-1 WITH MINIMUM CONTROL , 2008 .

[18]  Clive S. Fraser,et al.  An Improved Pushbroom Scanner Model for Precise Georeferencing of Alos Prism Imagery , 2008 .

[19]  Peter Reinartz,et al.  AUTOMATIC PRODUCTION OF A EUROPEAN ORTHOIMAGE COVERAGE WITHIN THE GMES LAND FAST TRACK SERVICE USING SPOT 4/5 AND IRS-P6 LISS III DATA , 2007 .

[20]  Daniela Poli,et al.  A Rigorous Model for Spaceborne Linear Array Sensors , 2007 .

[21]  Changjae Kim,et al.  Comprehensive Analysis of Sensor Modeling Alternatives for High Resolution Imaging Satellites , 2007 .