Research Papers

Automated imagery orthorectification pilot

[+] Author Affiliations
E. Terrence Slonecker

U.S. Geological Survey, Eastern Geographic Science Center, 12201 Sunrise Valley Drive, Reston, Va 20192

Brad Johnson, Joe McMahon

SRA International Incorporated, Fairfax, Virginia 22033

J. Appl. Remote Sens. 3(1), 033552 (October 7, 2009). doi:10.1117/1.3255042
History: Received February 23, 2009; Revised August 25, 2009; Accepted September 22, 2009; October 7, 2009; Online October 07, 2009
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Open Access Open Access

Abstract

Automated orthorectification of raw image products is now possible based on the comprehensive metadata collected by Global Positioning Systems and Inertial Measurement Unit technology aboard aircraft and satellite digital imaging systems, and based on emerging pattern-matching and automated image-to-image and control point selection capabilities in many advanced image processing systems. Automated orthorectification of standard aerial photography is also possible if a camera calibration report and sufficient metadata is available. Orthorectification of historical imagery, for which only limited metadata was available, was also attempted and found to require some user input, creating a semi-automated process that still has significant potential to reduce processing time and expense for the conversion of archival historical imagery into geospatially enabled, digital formats, facilitating preservation and utilization of a vast archive of historical imagery. Over 90 percent of the frames of historical aerial photos used in this experiment were successfully orthorectified to the accuracy of the USGS 100K base map series utilized for the geospatial reference of the archive. The accuracy standard for the 100K series maps is approximately 167 feet (51 meters). The main problems associated with orthorectification failure were cloud cover, shadow and historical landscape change which confused automated image-to-image matching processes. Further research is recommended to optimize automated orthorectification methods and enable broad operational use, especially as related to historical imagery archives.

References

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S. Titus, "Survey and analysis of present or potential environmental impact sites in Woburn, Massachusetts," Proc. Ann. Meeting Am. Soc. Photogram., 538-549, Denver, CO (1982).
J. G. Lyon, "The use of aerial photographs and remote sensing data in the management of hazardous waste sites," Hazardous Waste Management for the 80's, pp. 163-171, T. Sweeny, H. Bhatt, R. Sykes, and O. Sproul, Eds., Ann Arbor Science Publications, Ann Arbor, MI (1982).
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C. Stohr, W.J. Su, P.B. DuMontelle and R.A. Griffin, "Remote sensing investigations at a hazardous waste landfill," Photogram. Eng. Rem. Sens. 53, 1555-1563 (1987).
E. M. Barnaba, W. R. Phillipson, A. W. Ingram, and J. Pim. "The use of aerial photographs in county inventories of waste disposal sites," Photogram. Eng. Rem. Sens. 57, 1289-1296 (1991).
J. D. Herman, J. E. Waites. R. M. Ponitz, and P. Etzier, "A temporal and spatial remote sensing resolution study of a Michigan superfund site," Photogram. Eng. Rem. Sens. 60, 1007-1017 (1994).
E. T. Slonecker, M. J. Lacerte, and D. Garofalo. "The value of historic imagery," Earth Observ. Mag. 8, 39-41 (1999).
M. Stojic, "An approach for automated orthorectification of video imagery," Proc. Am. Soc. Photogram. Rem. Sens. Ann. Conf., May 22-26, 2000, Washington D.C. (2000)
S. Smith, B. Bursey, and C. Tucker, "Auto orthorectification experiment: Phase 2 experiment report," SRA Inc, Chantilly, VA(2005).
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P. Cheng, "Automated high-accuracy orthorectification and mosaicking of PALSAR data without ground control," Geoinform. 6, 36-38 (2007), http://www.pcigeomatics.com/pdfs/P36-38%20GEO76LR.pdf (23 February 2009)
J. A. Goncalves and A. R. S. Marcal, "Automatic ortho-rectification of ASTER images by matching digital elevation models," Image Anal. Recog. 4633, 1265-75 (2007)
L. G. Brown. "A survey of image registration techniques," ACM Computing Surveys 24, 325-376 (1992)
B. Zitova and J. Flusser. "Image registration methods: a survey," Image Vision Computing 21, 977-1000 (2003)
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C. Liu and P. Chen, "Automatic extraction of ground control regions and orthorectification of remote sensing imagery" Opt. Exp. 17, 7970-7984 (2009)
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NASA, "Automated ortho-rectification software system enhances signal and image processing," Technology Development and Transfer Office, John C. Stennis Space Center, http://technology.ssc.nasa.gov/PDFs/SSC-00108_SS_NTTS.pdf
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L. K. G. Fonseca and B. S. Manjunah, "Registration techniques for multisensor remotely sensed imagery," Photogram. Eng. Rem. Sens. 66, 1049-1056 (1996).
B. S. Reddy and B. N. Chatterji, "An FFT-based technique for translation, rotation, and scale-invariant image registration," IEEE Trans. Image Process. 5, 1266-1271 (1996)
U. S. Environmental Protection Agency, "Fact sheet: EPA's advanced monitoring initiative supports GEOSS," (28 September 2006) http://www.epa.gov/geoss/factsheet/ami06.pdf.
U. S. Geological Survey, Land Remote Sensing Program, (13 February 2009), http://remotesensing.usgs.gov/index.php
U. S. Global Change Research Program, U. S. Global Change Research Program, (16 January 2009), http://www.usgcrp./gov
U. S. Group on Earth Observations (USGEO), (23 January 2003), www.usgeo.gov.
S. Baillarin, J. P. Gleyzes, C. Latry, A. Bouillon, E. Breton, L. Cunin, C. Vesco, and J. M. Delvit, "Validation of an automatic image ortho-rectification processing," IEEE Geosci. Rem. Sens. Symp. 2, 1398-1401 (2004)
C. Chen, M-H Chen, and H-T. Li, "Fully automatic and robust approach for remote sensing image registration" Progress in Pattern Recognition, Image Analysis and Applications, vol. 4756, pp. 891-900, Springer, Berlin (2008)
J. A. Goncalves and A. R. S. Marcal "Automatic ortho-rectification of ASTER images by matching digital elevation models," Image Anal. Recog. 4633, 1265-75 (2007)
U. S. Geological Survey, "National elevation dataset," August 2006 http://ned.usgs.gov/Ned/about.asp.
U. S. Department of Defense, Performance Specification, Controlled Image base (CIB), Military Specification, MIL-PRF-89041A (2001), http://www.nga.mil/ast/fm/acq/MIL-PRF-89041A%20CIB.pdf
U. S. Geological Survey, "Digital orthophoto quadrangles," Fact Sheet 057-01 (May 2001). http://egsc.usgs.gov/isb/pubs/factsheets/fs05701.html#accuracy
B. Johnson, "The EPA orthorectifcation study," SRA Inc, 30 p., Chantilly, VA (2008).
S. Stephens, USGS Optical Science Laboratory, Reston, VA, Private Communication (2008).
Q. A. Abdullah, "Mapping matters," Photogram. Eng. Rem. Sens. 73, 735 (2007).
T. Pollard and J. L. Mundy, "Change detection in a 3-D World," IEEE Conf. Comput. Vision Pattern Recog., 1-6 (2007)
T. Pollard, I. Eden, J. Mundy, and D. Cooper, "A volumetric approach to change detection in satellite images," Photogram. Eng. Rem. Sens., under review.
© 2009 Society of Photo-Optical Instrumentation Engineers

Citation

E. Terrence Slonecker ; Brad Johnson and Joe McMahon
"Automated imagery orthorectification pilot", J. Appl. Remote Sens. 3(1), 033552 (October 7, 2009). ; http://dx.doi.org/10.1117/1.3255042


Figures

Tables

References

T. L. Erb, W. R. Philipson, W. L.Teng, and T. Liang, "Analysis of landfills with historic airphotos," Photogram. Eng. Rem. Sens. 47, 1363-1369 (1981).
S. Titus, "Survey and analysis of present or potential environmental impact sites in Woburn, Massachusetts," Proc. Ann. Meeting Am. Soc. Photogram., 538-549, Denver, CO (1982).
J. G. Lyon, "The use of aerial photographs and remote sensing data in the management of hazardous waste sites," Hazardous Waste Management for the 80's, pp. 163-171, T. Sweeny, H. Bhatt, R. Sykes, and O. Sproul, Eds., Ann Arbor Science Publications, Ann Arbor, MI (1982).
J. G. Lyon, "The use of maps, aerial photographs and other remote sensing data for practical evaluation of hazardous waste sites," Photogram. Eng. Rem. Sens. 53, 515-519 (1987).
C. Stohr, W.J. Su, P.B. DuMontelle and R.A. Griffin, "Remote sensing investigations at a hazardous waste landfill," Photogram. Eng. Rem. Sens. 53, 1555-1563 (1987).
E. M. Barnaba, W. R. Phillipson, A. W. Ingram, and J. Pim. "The use of aerial photographs in county inventories of waste disposal sites," Photogram. Eng. Rem. Sens. 57, 1289-1296 (1991).
J. D. Herman, J. E. Waites. R. M. Ponitz, and P. Etzier, "A temporal and spatial remote sensing resolution study of a Michigan superfund site," Photogram. Eng. Rem. Sens. 60, 1007-1017 (1994).
E. T. Slonecker, M. J. Lacerte, and D. Garofalo. "The value of historic imagery," Earth Observ. Mag. 8, 39-41 (1999).
M. Stojic, "An approach for automated orthorectification of video imagery," Proc. Am. Soc. Photogram. Rem. Sens. Ann. Conf., May 22-26, 2000, Washington D.C. (2000)
S. Smith, B. Bursey, and C. Tucker, "Auto orthorectification experiment: Phase 2 experiment report," SRA Inc, Chantilly, VA(2005).
PCI Geomatics, "Orthorectification and geometric correction: Fact Sheet," PCI Geomatics Richmond Hill, Ontario, 2006) http://www.pcigeomatics.com/products/pdfs/orthorectification.pdf .
ITTVIS, "ENVI orthorectification module," http://www.ittvis.com/ProductServices/ENVI/Orthorectification.aspx (2009)
PCI Geomatics, "Improving airphoto processing with automated functions," http://www.pcigeomatics.com/solutions/pdf/PCI_Automated_Airphoto_Whitepaper_v3.pdf. (2006).
T. Kim and Y-J Im, "Automatic satellite image registration by combination of matching and random sample consensus," IEEE Trans. Geosci. Rem. Sens. 41, 1111- 1117 (2003)
T. Weston. "Precise rectification of spot imagery," Photogram. Eng. Rem. Sens. 56, 247-253, (1990).
P. Cheng, "Automated high-accuracy orthorectification and mosaicking of PALSAR data without ground control," Geoinform. 6, 36-38 (2007), http://www.pcigeomatics.com/pdfs/P36-38%20GEO76LR.pdf (23 February 2009)
J. A. Goncalves and A. R. S. Marcal, "Automatic ortho-rectification of ASTER images by matching digital elevation models," Image Anal. Recog. 4633, 1265-75 (2007)
L. G. Brown. "A survey of image registration techniques," ACM Computing Surveys 24, 325-376 (1992)
B. Zitova and J. Flusser. "Image registration methods: a survey," Image Vision Computing 21, 977-1000 (2003)
R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, "Image change detection algorithms: A systematic survey," IEEE Trans. Image Process. 14, 294-307 (2005)
C. Liu and P. Chen, "Automatic extraction of ground control regions and orthorectification of remote sensing imagery" Opt. Exp. 17, 7970-7984 (2009)
S. Leprince, S. Barbot, F. Youb, and J.-P. Avouac, "Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, Application to ground deformation measurements," IEEE Trans. Geosci. Rem. Sens. 45, 1529-1558 (2007)
NASA, "Automated ortho-rectification software system enhances signal and image processing," Technology Development and Transfer Office, John C. Stennis Space Center, http://technology.ssc.nasa.gov/PDFs/SSC-00108_SS_NTTS.pdf
X. Dai and S. Khorram, "A feature-based image registration algorithm using improved chain-code representation combined with invariant moments" IEEE Trans. Geosci. Rem. Sens. 37, 2351-2362(1999)
L. K. G. Fonseca and B. S. Manjunah, "Registration techniques for multisensor remotely sensed imagery," Photogram. Eng. Rem. Sens. 66, 1049-1056 (1996).
B. S. Reddy and B. N. Chatterji, "An FFT-based technique for translation, rotation, and scale-invariant image registration," IEEE Trans. Image Process. 5, 1266-1271 (1996)
U. S. Environmental Protection Agency, "Fact sheet: EPA's advanced monitoring initiative supports GEOSS," (28 September 2006) http://www.epa.gov/geoss/factsheet/ami06.pdf.
U. S. Geological Survey, Land Remote Sensing Program, (13 February 2009), http://remotesensing.usgs.gov/index.php
U. S. Global Change Research Program, U. S. Global Change Research Program, (16 January 2009), http://www.usgcrp./gov
U. S. Group on Earth Observations (USGEO), (23 January 2003), www.usgeo.gov.
S. Baillarin, J. P. Gleyzes, C. Latry, A. Bouillon, E. Breton, L. Cunin, C. Vesco, and J. M. Delvit, "Validation of an automatic image ortho-rectification processing," IEEE Geosci. Rem. Sens. Symp. 2, 1398-1401 (2004)
C. Chen, M-H Chen, and H-T. Li, "Fully automatic and robust approach for remote sensing image registration" Progress in Pattern Recognition, Image Analysis and Applications, vol. 4756, pp. 891-900, Springer, Berlin (2008)
J. A. Goncalves and A. R. S. Marcal "Automatic ortho-rectification of ASTER images by matching digital elevation models," Image Anal. Recog. 4633, 1265-75 (2007)
U. S. Geological Survey, "National elevation dataset," August 2006 http://ned.usgs.gov/Ned/about.asp.
U. S. Department of Defense, Performance Specification, Controlled Image base (CIB), Military Specification, MIL-PRF-89041A (2001), http://www.nga.mil/ast/fm/acq/MIL-PRF-89041A%20CIB.pdf
U. S. Geological Survey, "Digital orthophoto quadrangles," Fact Sheet 057-01 (May 2001). http://egsc.usgs.gov/isb/pubs/factsheets/fs05701.html#accuracy
B. Johnson, "The EPA orthorectifcation study," SRA Inc, 30 p., Chantilly, VA (2008).
S. Stephens, USGS Optical Science Laboratory, Reston, VA, Private Communication (2008).
Q. A. Abdullah, "Mapping matters," Photogram. Eng. Rem. Sens. 73, 735 (2007).
T. Pollard and J. L. Mundy, "Change detection in a 3-D World," IEEE Conf. Comput. Vision Pattern Recog., 1-6 (2007)
T. Pollard, I. Eden, J. Mundy, and D. Cooper, "A volumetric approach to change detection in satellite images," Photogram. Eng. Rem. Sens., under review.

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