Estimating oceanic chlorophyll concentrations with neural networks

International Journal of Remote Sensing

Volumn 20, Issue 1, 1999, Pages 189-194

  Keiner, L E ^a   Brown, C W ^b  

^a Res and Data Systems Corporation   (United States)

^b OFFICE OF RESEARCH AND APPLICATIONS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHLOROPHYLL; MATHEMATICAL MODELS; NEURAL NETWORKS; OCEANOGRAPHY; REFLECTOMETERS;

OCEANIC CHLOROPHYLL CONCENTRATIONS;

REMOTE SENSING;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL; OCEANOGRAPHY; SEAWIFS;

EID: 0033540298     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311699213695     Document Type: Article

References (11)

1. Atkinson, P., and Tatnall, A 1997, Neural networks in remote sensing. International Journal of Remote Sensing, 18, 699-709.
2. Bukata, R., Jerome, J., Kondratyev, K., and Pozdnyakov, D., 1991, Satellite monitoring of optically-active components of inland waters: an essential input to regional climate change impact studies. Journal of Great Lakes Research, 17, 470-478.
3. Cybenko, G., 1989, Approximations by superpositions of a sigmoidal function. Mathematics of Control, Signals and System, 2, 303-314.
4. Gordon, H., and Morel, A., 1983, Remote assessment of ocean color for interpretation of satellite visible imagery (New York: Springer-Verlag).
5. Keiner, L., and Yan, X.-H., 1998, The use of a neural network in estimating surface chlorophyll and sediments from Thematic Mapper imagery. Remote Sensing of Environment 66, 153-165.
6. Krasnopolsky, V., Breaker, L., and Gemmill, W., 1995, A neural network as a nonlinear transfer model for retrieving surface wind speeds from the special sensor microwave imager. Journal Geophysical Research, 100, 11033-11045.
7. Mcclain, C., 1997, SeaWiFS Bio-Optical Algorithm Mini-workshop (SeaBAM) Overview, SeaBAM Technical Memo, NASA SeaWiFS Project.
8. Masters, T., 1993, Practical neural network recipes in C++ (San Diego: Academic Press).
9. M Asters, T., 1995, Advanced algorithms for neural networks (New York: John Wiley and Sons).
10. O'Reilly, J., Maritorena, S., Mitctell, B., Siegel, D., Carder, K., Garver, S., Kahru, M., and M Cc Lain, C., 1998, Ocean color chlorophyll algorithms for SeaWiFS. Journal of Geophysical Research 103, 24,937-24,953.
11. Thiria, S., Mejia, C., Badran, F., and Crepon, M., 1993, A neural network approach for modeling nonlinear transfer functions: Applications for wind retrieval from spaceborne scatterometer data. Journal of Geophysical Research, 98, 22827-22841.