Practical methods for geometric distortion correction of aerial hyperspectral imagery

Applied Engineering in Agriculture

Volumn 20, Issue 3, 2004, Pages 367-375

  Yao, H ^a   Tian, L ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Crop field; Edge detection; Image processing; Remote sensing; Roll

Indexed keywords

CROPS; EDGE DETECTION; FEATURE EXTRACTION; IMAGE QUALITY; IMAGE SENSORS; REMOTE SENSING;

AERIAL HYPERSPECTRAL IMAGERY; CROP FIELD; GEOMETRIC DISTORTION; PRECISION AGRICULTURE;

AGRICULTURE;

EID: 3242881549     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Anger, C. D., S. Mah, T. A. Ivanco, S. B. Achal, R. Price, and J. R. Busler. 1996. Extended operational capabilities of the CASI. In Proc. 2nd International Airborne Remote Sensing Conference and Exhibition, v1: 124-133. Ann Arbor, Mich.: ERIM International, Inc.
2. Avanzi, G., R. Bianchi, R. M. Cavalli, C. M. Marino, S. Pignatti, and G. C. Pisacane. 1996. Geometric correction of airborne remote sensing data: an operational procedure to geocode MIVIS data. In Proc. 2nd International Airborne Remote Sensing Conference and Exhibition, v3: 229-238. Ann Arbor, Mich.: ERIM International, Inc.
3. Bajwa, S. G., and L. Tian. 2002. Multispectral CIR image calibration for cloud shadow and soil background influence using intensity normalization. Applied Engineering in Agriculture 18(5): 627-635.
4. Boardman, J. 1999. Precision geocoding of low altitude AVIRIS data: lessons learnt in 1998. In 8th Annual JPL Airborne Earth Science Workshop, ed. R. Green, 63-68. Pasadena, Calif.: JPL Publication.
5. Clark, R. N., K. E. Livo, and R.F. Kokaly. 1998. Geometric correction of AVIRIS imagery using on-board navigation and engineering data. In Proceedings of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop. Pasadena, Calif.: JPL Publication.
6. Doucette, P., P. Agouris, M. Musavi, and A. Stefanidis. 1999. Automated extraction of linear features from aerial imagery using Kohonen learning and GIS data. Lecture Notes in Computer Science 1737: 20-33.
7. Gonzalez, R. C., and R. E. Woods. 1992. Digital Image Processing. Reading, Mass.: Addison-Wesley Publishing Company, Inc.
8. Gregory, S., P. Hedges, and J. Elgy. 1999. The geometric correction of airborne line-scanner imagery. In Proc. 4th International Airborne Remote Sensing Conference and Exhibition, v1: 178-185. Ann Arbor, Mich.: ERIM International, Inc.
9. Huseby, S. R., O. M. Halck, and R. Solberg. 1999. A model-based approach for geometrical correction of optical satellite images. Geoscience and Remote Sensing Symposium. IGARSS '99, v1: 330-332. Hamburg, Germany: IEEE.
10. Jiang, Y. 1999. A practical method of calibrating airborne hyperspectral imagery. In GeoComputation. Fredericksburg, Va.: GeoComputation CD-ROM.
11. Mao, C., T. Gress, and D. Lewis. 1997. A spatial correlation approach to the geometric restoration of airborne hyperspectral video imagery. In 16th Workshop on Videography and Color Photography in Resource Assessment, 51-58. Weslaco, Tex.: ASPRS.
12. Mao, C. 2000. Hyperspectral focal plane scanning-an innovative approach to airborne and laboratory push broom hyperspectral imaging. In Proc. 2nd Int. Conference on Geospatial Information in Agriculture and Forestry, v1: 424-428. Ann Arbor, Mich.: ERIM International, Inc.
13. Microsoft Corp. http://terraserver.homeadvisor.msn.com/default.asp. Accessed in 2001.
14. Makisara, K., A. Lohi, and J. P. Kama. 1994. A system for geometric and radiometric correction of airborne imaging spectrometer data. In Geoscience and Remote Sensing Symposium, IGARSS '94, v3: 1503-1505. Pasadena, Calif.: IEEE.
15. McGwire, C. K. 1996. Cross-validated assessment of geometric accuracy. Photogrammetric Engineering and Remote Sensing 62(10): 1179-1187.
16. Mockridge, W., M. Leach, and A. K. Wilson. 1997. Integrating a Daedalus 1268 ATM, attitude GPS and AHRS to achieve scan rate geometric correction. In Third International Airborne Remote Sensing Conference and Exhibition, Development, Integration, Applications & Operations, v1: 158-165. Copenhagen, Denmark: ERIM International, Inc.
17. Moreno, J. F., and J. Melia. 1993. A method for accurate geometric correction of NOAA AVHRR HRPT data. IEEE Transactions on Geoscience and Remote Sensing 31(1): 204-226.
18. Research Systems Inc. 2000. Envi 3.4 Programmer's Guide. Boulder, Colo.
19. Schaepman, M. E., D. Schläpfer, and K. I. Itten. 2000. APEX-a new pushbroom imaging spectrometer for imaging spectroscopy applications: current design and status. In Geoscience and Remote Sensing Symposiun. IGARSS 2000, v2: 828-830. Honolulu, Hawaii: IEEE.
20. Schläpfer, D., M. Schaepman, and K. I. Itten. 1998. PARGE: Parametric geocoding based on GCP-calibrated auxiliary data. In Proc. of SPIE, Image Spectrometry IV, v3438: 334-344. San Diego, Calif.: SPIE.
21. Schläpfer, D., S. Bojinski, M. Schaepman, and R. Richter. 2000. Combination of geometric and atmospheric correction for AVIRIS data in rugged terrain. In Proceedings of Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop. Pasadena, Calif.: JPL Publication.
22. Schläpfer, D., and R. Richter. 2002. Geo-atmospheric processing of airborne imaging spectrometry Data Part 1: Parametric orthorectification, Int. J. of Remote Sensing 23(13): 2609-2630.
23. Schowengerdt, R. A. 1997. Remote Sensing: Models and Methods for Image Processing, 2nd ed. San Diego, Calif.: Academic Press.
24. Senay, G. B., A. D. Ward, J. G. Lyon, N. R. Fausey, and S. E. Nokes. 1998. Manipulation of high spatial resolution aircraft remote sensing data for use in site-specific farming. Transaction of the ASAE 41(2): 489-495.
25. Shin, D., J. K. Pollard, and J. P. Muller. 1997. Accurate geometric correction of ATSR images. IEEE Transactions on Geoscience and Remote Sensing 35(4): 997-1006.
26. Tian, L. 1997. Aerial field sensing and mapping for precision farming. NAAA/ASAE Paper No. AA97-001. St. Joseph, Mich.: ASAE.
27. Toutin, T., and Y. Carbonneau. 1992. MOS and SEASAT image geometric corrections. IEEE Transactions on Geoscience and Remote Sensing 30(3): 603-609.
28. Yao, H., L. Tian, and N. Noguchi. 2001. Hyperspectral imaging system optimization and image processing. ASAE Meeting Paper No. 011105, St. Joseph, Mich.: ASAE.
29. Yao, H., L. Tian, M. Paulsen, A. Kaleita, and M. Singh. 2002. Hyperspectral imagery for various crop growth information extraction. ASAE Paper No. 021076. St. Joseph, Mich.: ASAE.
30. Yang, C., J. H. Everitt, and C. Mao. 2001. A hyperspectral imaging system for agricultural applications. ASAE Paper No. 011107. St. Joseph, Mich.: ASAE.
31. Yang, C., J. H. Everitt, and J. M. Bradford. 2002. Airbome hyperspectral imaging and yield monitoring of grain sorghum yield variability. ASAE Paper No. 021079. St. Joseph, Mich.: ASAE.
32. Zhang, B., Z. Z. Zhu, and Y. S. Wu. 1997. Accurate geometric correction of NOAA AVHRR images: The coastline detection approach with respect to multispectral and spatial information. In IEEE International Conference Intelligent Processing Systems, ICIPS '97, v2: 1036-1039. Beijing, China: IEEE.