Images with Uncertainty: Efficient Algorithms for Shift, Rotation, Scaling, and Registration, and their Applications to Geosciences

• different images bring different information; so, to get a better understanding, we must fuse the corresponding data; e.g., we must combine a satellite images with a radar image; • comparison of two images – e.g., images made at different moments of time – can also give us information about the changes: e.g., by comparing preand post-earthquake images, we can determine the effect of the earthquake.

[1]  Bihong Fu,et al.  Co-Seismic Strike-Slip and Rupture Length Produced by the 2001 Ms 8.1 Central Kunlun Earthquake , 2002, Science.

[2]  S. Riazanofi.  SPOT Satellite Geometry Handbook , 2002 .

[3]  R W Cox,et al.  Rotation of NMR images using the 2D chirp‐z transform , 1999, Magnetic resonance in medicine.

[4]  B. N. Chatterji,et al.  An FFT-based technique for translation, rotation, and scale-invariant image registration , 1996, IEEE Trans. Image Process..

[5]  Cara Gina Schiek.  Terrain change detection using ASTER optical satellite imagery along the Kunlun fault, Tibet , 2004 .

[6]  P. Rosen,et al.  SYNTHETIC APERTURE RADAR INTERFEROMETRY TO MEASURE EARTH'S SURFACE TOPOGRAPHY AND ITS DEFORMATION , 2000 .

[7]  Roberto Araiza.  Optimal FFT-based algorithms for referencing multi-spectral images , 2003 .

[8]  E. Mikhail,et al.  Introduction to modern photogrammetry , 2001 .

[9]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[10]  Vladik Kreinovich,et al.  Automatic referencing of satellite and radar images , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[11]  Vladik Kreinovich,et al.  Automatic referencing of multi-spectral images , 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

[12]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[13]  Vladik Kreinovich,et al.  Intelligent mining in image databases, with applications to satellite imaging and to web search , 2001 .

[14]  J. Avouac,et al.  Measuring earthquakes from optical satellite images. , 2000, Applied optics.

[15]  Abraham Kandel,et al.  Data Mining and Computational Intelligence , 2001 .

[16]  Frederick J. Ryerson,et al.  The 14 November 2001, Mw = 7.8 Kokoxili Earthquake in Northern Tibet (Qinghai Province, China) , 2002 .

[17]  Semih Ergintav,et al.  Bulletin of the Seismological Society of America , 2002 .

[18]  Scott A. Starks,et al.  Towards a General Methodology for Designing Sub-Noise Measurement Procedures , 2004 .

[19]  Yann Klinger,et al.  Slip-Partitioned Surface Breaks for the Mw 7.8 2001 Kokoxili Earthquake, China , 2005 .

[20]  Roberto Araiza,et al.  Towards Optimal Mosaicking of Multi-Spectral Images , 2000 .

[21]  Stephen A Gibson.  An optimal FFT-based algorithm for mosaicking images , 1999 .

[22]  Paul A. Rosen,et al.  The Mw 7.1, Hector Mine, California earthquake: surface rupture, surface displacement field, and fault slip solution from ERS SAR data , 2001 .

[23]  R. E. Crippen,et al.  Measurement of Subresolution Terrain Displacements Using Spot Panchromatic Imagery , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.

[24]  Vladik Kreinovich,et al.  An IDL/ENVI Implementation of the FFT Based Algorithm for Automatic Image Registration , 2003 .

[25]  Rémi Michel,et al.  Horizontal coseismic deformation of the 1999 Chi-Chi earthquake measured from SPOT satellite images: Implications for the seismic cycle along the western foothills of central Taiwan , 2003 .

[26]  V. Kreinovich,et al.  Using FFT-based data processing techniques to characterize asphaltic concrete mixtures , 2004, 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop, 2004..

[27]  J. Avouac,et al.  Deformation due to the 17 August 1999 Izmit, Turkey, earthquake measured from SPOT images , 2002 .