Noise reduction and atmospheric correction for coastal applications of Landsat Thematic Mapper imagery

Remote Sensing of Environment

Volumn 70, Issue 2, 1999, Pages 167-180

  Zhang, M ^a   Carder, K ^b   Muller Karger, F E ^b   Lee, Z ^b   Goldgof, D B ^c  

^a WINONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c University of South Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOLS; ALGORITHMS; EDGE DETECTION; IMAGE PROCESSING; OCEANOGRAPHY; RAYLEIGH SCATTERING; SEAWATER; SIGNAL FILTERING AND PREDICTION;

FOURIER FILTERING; THEMATIC MAPPING;

REMOTE SENSING;

ATMOSPHERIC CORRECTION; COASTAL ZONE MANAGEMENT; DATA QUALITY; LANDSAT THEMATIC MAPPER;

EID: 0033230146     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(99)00031-0     Document Type: Article

References (27)

1. Austin R.W., Petzold T.J. Spectral dependence of the diffuse attenuation coefficient of light in ocean waters. Opt. Eng. 25:1986;471-479.
2. Barker, J. L. (1985), Relative radiometric calibration of Landsat TM reflective bands. In Proceedings of the Landsat-4 Science Characterization Early Results Symposium, 22-24 February 1983, NASA Goddard Space Flight Center, Greenbelt, Maryland. NASA Conference Publication 2355, Vol. 3, pp. 1-219.
3. Bezdek J.C., Pal S.K. Fuzzy Models for Pattern Recognition. 1992;IEEE Press, Piscataway, NJ.
4. Costello D.K., Carder K.L., Chen R.F., Peacock T.G., Nettles S. Multi-spectral imagery, hyper-spectral radiometry, and unmanned underwater vehicles. tools for the assessment of natural resources in coastal waters SPIE. 2501:1995;407-415.
5. Crippen R.E. A simple spatial filtering routine for the cosmetic removal of scan-line noise from Landsat TM P-tape imagery. Photogramm. Eng. Remote Sens. 55:1989;327-331.
6. Elterman L. UV, visible, and IR attenuation for altitudes to 50 km, Report AFCRL-68-01653. 1968;U.S. Air Force Cambridge Research Laboratory, Bedford, MA.
7. Engel, J. L., Lansing, C., Brandshaft, D. G., and Marks, B. J. (1983), Radiometric performance of the Thematic Mapper. In Proceedings of the Seventeenth Symposium on Remote Sensing of Environment, 9-13 May 1983, Ann Arbor, Michigan, pp. 293-317.
8. Foody G.M., Campbell N.A., Trood N.M., Wood T.F. Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification. Photogramm. Eng. Remote Sens. 58:1992;1335-1341.
9. Fusco L.U., Trevese D., Blonda P.N., Pasquariello G., Milillo G. Landsat TM image forward/reverse scan banding. characterization and correction Int. J. Remote Sens. 7:1986;557-575.
10. Gonzalez R.C., Woods R.E. Digital Image Processing. 1993;Addison-Wesley, Reading, MA.
11. Gordon H.R., Clark D.K. Atmospheric effects in the remote sensing of phytoplankton pigments. Boundary-Layer Meteorol. 18:1980;299-313.
12. Gordon H.R., Brown J.W., Brown O.B., Evans R.H., Clark D.K. Nimbus-7 CZCS. reduction of its radiometric sensitivity with time Appl. Opt. 22:1983;3929-3931. a.
13. Gordon H.R., Clark D.K., Brown J.W., Brown O.B., Evans R.H., Broenkow W.W. Phytoplankton pigment concentrations in the middle atlantic bight. comparision between ship determination and Coastal Zone Color Scanner estimates Appl. Opt. 22:1983;20-36. b.
14. Gregg W.W., Carder K.L. A simple spectral solar irradiance model for cloudless maritime atmospheres. Limonol. Oceanogr. 35:1990;1657-1675.
15. Hutchinson C.F. Techniques for combining Landsat and ancillary data for digital classification improvement. Photogramm. Eng. Remote Sens. 48:1982;123-130.
16. Lee Z.P., Carder K.L., Hawes S.K., Steward R.G., Peacock T.G., Davis C.O. Model for the interpretation of hyperspectral remote-sensing reflectance. Appl. Opt. 33:1994;5721-5732.
17. Lee Z.P., Carder K.L., Peacock T.G., Davis C.O., Mueller J.L. Method to derive ocean absorption coefficients from remote-sensing reflectance. Appl. Opt. 35:1996;453-462.
18. Lee Z.P., Carder K.L., Steward R.G., Peacock T.G., Davis C.O., Patch J.S. An empirical algorithm for absorption by ocean water based on color. J. G. R. 103(C12):1998;27,967-27,978.
19. MacFarlane N., Robinson I.S. Atmospheric correction of LANDSAT MMS data for a multidate suspended sediment algorithm. Int. J. Remote Sens. 5:1984;561-576.
20. Mausel P.W., Kamber W.J., Lee J.K. Optimum band selection for supervised classification of multispectral data. Photogramm. Eng. Remote Sens. 56:1990;55-60.
21. Morel A., Gentili B. Diffuse reflectance of oceanic waters. II. Bidirectional aspects. Appl. Opt. 32:1993;6864-6879.
22. Neckel H., Labs D. The solar radiation between 3300 and 12500 A. Sol. Phys. 90:1984;205-258.
23. Chart Kit. Region 9, Florida West Coast and the Keys:1995;Better Boating Association, Rockland, MA.
24. Pope R.M., Fry E.S. Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements. Appl. Opt. 36:1997;8710-8723.
25. Srinivasan, Cannon M., White J. Landsat data destriping using power spectral filtering. Opt. Eng. 27:1988;939-943.
26. Young L.R., Carder K.L., Steward R.G., Chen F.R. Comparison of measured and modeled bottom reflectance spectra on the southeastern shelf of the Florida Keys. SPIE. 2480:1995;237-247.
27. Young, L. R., Carder, K. L., Costello, D. K., Hou, W., and English, D. C. (1998), Characterization of bottom albedo using Landsat TM imagery, AGU, Ocean Sciences Meeting Program, San Diego, CA.