Pushbroom-Frame Imagery Co-Registration

References

• ASPRS . 2004 . Manual of photogrammetry, 5th edition , Edited by: McGlone , C. , Mikhail , E. and Bethel , J. 1168 Bethesda, MA: ASPRS Publications .
   Google Scholar
• Balstavias , E. 1994 . “ Test and calibration procedures for image scanners. Proceedings of the ISPRS Commission I Symposium, 12–16 September ” . Vol. 30 , 163 – 170 . Como , , Italy : IAPRS .
   Google Scholar
• Bethel , J. , Lee , C. and Landgrebe , D. 2000 . Geometric registration and classification of hyperspectral airborne pushbroom data . Int. Arch. Photogramm. Remote Sen. , 33 : 183 – 188 . part B7
   Google Scholar
• Brown , L. G. 1992 . A survey of image registration techniques . ACM Comput. Surv. , 24 ( 4 ) : 325 – 376 .
   Web of Science ®Google Scholar
• Cohen , J. 1988 . Statistical power analysis for the behavioral sciences, , 2nd edition , New York : Psychology Press, Taylor and Francis .
   Google Scholar
• Comolli , L. and Sala , R. 2010 . Mechanical calibration and alignment of an aerial photogrammetric film scanner based on a 2D array camera . Photogramm. Rec. , 25 ( 103 ) : 119 – 139 .
   Google Scholar
• Ethridge , M. M. 1977 . Geometric analysis of singly and multiply scanned aircraft digital data arrays , West Lafayette, IN : Ph.D. thesis, Purdue University .
   Google Scholar
• Fonseca , L. , Brown , C. , Calder , B. R. , Mayer , L. A. and Rzhanov , Y. 2009 . Angular range analysis of acoustic themes from Stanton Banks Ireland: A link between visual interpretation and multibeam echosounder angular signatures . Appl. Acoust. , 70 : 1298 – 1304 .
   Web of Science ®Google Scholar
• Goetz , A. F. H. , Rowan , L. C. and Kingston , M. J. 1982 . Mineral identification from orbit—initial results from the shuttle multispectral infrared radiometer . Science , 218 : 1020 – 1024 .
   PubMed Web of Science ®Google Scholar
• Goetz , A. F. H. , Vane , Solomon , J. E. and Rock , B. N. 1985 . Imaging spectrometry for earth remote sensing . Science , 228 : 1147
   PubMed Web of Science ®Google Scholar
• Grejner-Brzezinska , D. A. , Toth , C. and Yi , Y. D. 2005 . On improving navigation accuracy of GPS/INS systems . Photogramm. Eng. Rem. Sens. , 71 ( 4 ) : 377 – 389 .
   Web of Science ®Google Scholar
• Gupta , R. and Hartley , R. I. 1997 . Linear pushbroom cameras . IEEE Trans. Patt. Anal. Mach. Intell , 19 ( 9 ) : 963 – 975 .
   Web of Science ®Google Scholar
• Habib , A. F. and Alruzouq , R. I. 2004 . Line-based modified iterated Hough transform for automatic registration of multi-source imagery . Photogramm. Rec. , 19 ( 105 ) : 5 – 21 .
   Web of Science ®Google Scholar
• Kanzow , C. , Yamashita , N. and Fukushima , M. 2004 . Levenberg-Marquardt methods for constrained nonlinear equations with strong local convergence properties . J. Comput. Appl. Math. , 172 : 375 – 397 .
   Web of Science ®Google Scholar
• Landgrebe , D. A. 2003 . Signal theory methods in multispectral remote sensing , Hoboken , NJ : John Wiley and Sons .
   Google Scholar
• Li , H. , Manjunath , B. S. and Mitra , S. K. 1995 . A contour-based approach to multisensor image registration . IEEE Trans. Image Process. , 4 ( 3 ) : 320 – 334 . http://vision.ece.ucsb.edu/publications/95IPTrans.pdf
   PubMed Web of Science ®Google Scholar
• Lee , C. and Bethel , J. 2004 . Georegistration of airborne hyperspectral image data . IEEE Trans. Geosci. Rem. Sens. , 39 ( 7 ) : 1347 – 1351 .
   Google Scholar
• Lee , C. , Theiss , H. , Bethel , J. and Mikhail , E. 2000 . Rigorous mathematical modeling of airborne pushbroom imaging systems . Photogramm. Eng. Rem. Sens. , 66 : 385 – 392 .
   Web of Science ®Google Scholar
• Pe’eri , S. and Rzhanov , Y. 2008 . Mosaicking tools for aerial imagery from a LiDAR bathymetry survey . Int. Hydro. Rev. , 9 : 35 – 44 .
   Google Scholar
• Petrie , G. 2005 . Airborne pushbroom line scanners: An alternative to digital frame scanners . GeoInformatics , 8 ( 1 ) : 50 – 57 .
   Google Scholar
• Reddy , B. S. and Chatterji , B. N. 1996 . An FFT-based technique for translation, rotation, and scale-invariant image registration . IEEE Trans. Image Process. , 5 : 1266 – 1271 .
   PubMed Web of Science ®Google Scholar
• Rzhanov , Y. , Mayer , L. , Beaulieu , S. , Shank , T. , Soule , S. A. and Fornari , D. J. 2006 . “ Deep-sea geo-referenced video mosaics ” . Proceedings of Oceans 2006 Conference, Abstract 060322-11 .
   Google Scholar
• Sawhney , H. S. , Hsu , S. and Kumar , R. Robust video mosaicking through topology inference and local to global alignment. Proceedings of the 5th European Conference on Computer Vision, Freiburg, Germany, June, Vol. II .
   Google Scholar
• Tuo , H. and Liu , Y. 2005 . A new coarse-to-fine rectification algorithm for airborne pushbroom hyperspectral images . Pattern Recogni. Lett. , 26 ( 11 ) : 1782 – 1791 .
   Web of Science ®Google Scholar
• Trucco , E. and Verri , A. 1998 . Introductory techniques for 3-D computer vision , Upper Saddle River , NJ : Prentice Hall, Inc .
   Google Scholar
• Wozencraft , J. M. and Lillycrop , J. W. 2006 . JALBTCX coastal mapping for USACE . Int. Hydro. Rev. , 7 : 28 – 37 .
   Google Scholar