Relative radiometric normalization and atmospheric correction of a SPOT 5 time series

Sensors

Volumn 8, Issue 4, 2008, Pages 2774-2791

  El Hajj, Mahmoud ^a   Bégué, Agnès ^b   Lafrance, Bruno ^c   Hagolle, Olivier ^d   Dedieu, Gérard ^d   Rumeau, Matthieu ^b  

^a UMR TETIS   (France)

^b CIRAD   (France)

^c CNES   (France)

^d Parc de la Plaine   (France)

Author keywords

Atmospheric correction; Radiometric normalization; SPOT 5; Sugarcane; Time series

Indexed keywords

ATMOSPHERIC CHARACTERIZATION; ATMOSPHERIC CORRECTIONS; COEFFICIENT OF DETERMINATION; MULTI-TEMPORAL IMAGE; RADIOMETRIC NORMALIZATION; RELATIVE RADIOMETRIC NORMALIZATION; SPATIAL AND TEMPORAL RESOLUTIONS; SPOT 5;

RADIOMETRY; SUGAR CANE;

TIME SERIES;

EID: 43049122458     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s8042774     Document Type: Article

References (29)

1. Bruzzone, L.; Smits, P. Analysis of Multi-temporal Remote Sensing Images, vol. 2; Trento, 2001.
2. King, R. L. and Younan, N. H. Proceedings of the Third International Workshop on the Analysis of Multi-temporal Remote Sensing Images; IEEE, Biloxi, 2005.
3. Smits, P.; Bruzzone, L. Analysis of Multi-temporal Remote Sensing Images, vol. 3; Ispra, 2003.
4. Anderson, G.P.; Chetwynd, J.H.; Theriault, J.-M.; Acharya, P.; Berk, A.; Robertson, D.C.; Kneizys, F.X.; Hoke, M.L.; Abreu, L.W.; Shettle, E.P. MODTRAN2: suitability for remote sensing. In Proceedings of SPIE - The International Society for Optical Engineering, Orlando, FL, USA, 1993, 514-525.
5. Rahman, H.; Dedieu, G. SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum. International Journal of Remote Sensing. 1994, 15, 123-143.
6. Tanre, D. Description of a computer code to simulate the satellite signal in the solar spectrum: the 5S code. International Journal of Remote Sensing 1990, 11, 659-668.
7. Vermote, E.F.; Tanre, D.; Deuze, J.L.; Herman, M.; Morcrette, J.J. Second simulation of the satellite signal in the solar spectrum, 6s: an overview. IEEE Transactions on Geoscience and Remote Sensing 1997, 35, 675-686.
8. Chavez Jr., P.S. Image-based atmospheric corrections - Revisited and improved. Photogrammetric Engineering and Remote Sensing 1996, 62, 1025-1036.
9. Song, C.; Woodcock, C.E.; Seto, K.C.; Lenney, M.P.; Macomber, S.A. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of Environment 2001, 75, 230-244.
10. Teillet, P.M.; Fedosejevs, G. On the dark target approach to atmospheric correction of remotely sensed data. Canadian Journal of Remote Sensing 1995, 21, 374-387.
11. Du, Y.; Teillet, P.M.; Cihlar, J. Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection. Remote Sensing of Environment 2002, 82, 123-134.
12. Furby, S.L.; Campbell, N.A. Calibrating images from different dates to 'like-value' digital counts. Remote Sensing of Environment 2001, 77, 186-196.
13. Hall, F.G.; Strebel, D.E.; Nickeson, J.E.; Goetz, S.J. Radiometric rectification: toward a common radiometric response among multidate, multisensor images. Remote Sensing of Environment 1991, 35, 11-27.
14. Moran, M.S.; Jackson, R.D.; Slater, P.N.; Teillet, P.M. Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output. Remote Sensing of Environment 1992, 41, 169-184.
15. Salvaggio, C. Radiometric scene normalization utilizing statistically invariant features. In Proceedings of the workshop on atmospheric correction of Landsat imagery, Torrance, California, 1993, 155-159.
16. Schott, J.R. Remote Sensing: The Image Chain Approach. Oxford University, 1997.
17. Schott, J.R.; Salvaggio, C.; Volchok, W.J. Radiometric scene normalization using pseudoinvariant features. Remote Sensing of Environment. 1988, 26, 1-16.
18. Elvidge, C.D.; Ding, Y.; Weerackoon, R.D.; Lunetta, R.S. Relative radiometric normalization of Landsat multispectral scanner (MSS) data using an automatic scattergram-controlled regression. Photogrammetric Engineering & Remote Sensing 1995, 61, 1255-1260.
19. Yuan, D.; Elvidge, C.D. Comparison of relative radiometric normalization techniques. ISPRS Journal of Photogrammetry and Remote Sensing 1996, 51, 117-126.
20. Nielsen, A.A.; Conradsen, K.; Simpson, J.J. Multivariate Alteration Detection (MAD) and MAF Post-Processing in Multispectral, Bi-temporal Image Data: New Approaches to Change Detection Studies. Remote Sensing of Environment 1998, 64, 1-19.
21. Nielsen, A.A. The regularized iteratively reweighted MAD method for change detection in multiand hyperspectral data. IEEE Transactions on Image Processing 2007, 16, 463-478.
22. Nielsen, A.A.; Canty, M.J. Multi- and hyperspectral remote sensing change detection with generalized difference images by the IR-MAD method. In Proceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images 2005, Biloxi, MS, 2005, 169-173.
23. DeBoissezon, H.; Sand, A. Reference Remote Sensing Data Bases: Temporal series of calibrated and ortho-rectified satellite images for scientific use. In Proceedings of Recent Advances in Quantitative Remote Sensing, Valencia, Spain, September 2006
24. Images Spot: copyrigth CNES, Distribution Spot image, http://kalideos.cnes.fr. 2007
25. Meygret, A. SPOT absolute calibration : synthesis. CNES technical report, S5-NT-0-2880-CN, Ed2, rev 0, 2007.
26. Shettle, E.P.; Fenn, R.W. Models for the Aerosols of the Lower Atmosphere and the Effects of Humidity Variation on their Optical Properties. Air Force Geophysics Laboratory, 1979.
27. Lebourgeois, V.; Begue, A.; Degenne, P.; Bappel, E. Improving sugarcane harvest and planting monitoring for smallholders with geospatial technology: The Reunion Island experience. International Sugar Journal 2007, 109, 109-117.
28. El Hajj, M.; Bégué, A.; Guillaume, S. Multi-source information fusion: Monitoring sugarcane harvest using multi-temporal images, crop growth modelling, and expert knowledge. In MULTITEMP-2007, Fourth International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Provinciehuis Leuven, Belgium, July 18-20, 2007, 6p.
29. Bégué, A.; Degenne, P.; Pellegrino, A.; Todoroff, P.; Baillarin, F. Application of remote sensing technology to monitor sugar cane cutting and planting in Guadeloupe (French West Indies). In Geomatica, La Habana, Cuba, 10-14th May 2004, 11.