Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data

International Journal of Remote Sensing

Volumn 30, Issue 11, 2009, Pages 2951-2962

  Fan, Wenyi ^a   Hu, Baoxin ^b   Miller, John ^b   Li, Mingze ^a  

^a NORTHEAST FORESTRY UNIVERSITY   (China)

^b YORK UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FORESTRY; PIXELS; REMOTE SENSING; SPECTROSCOPY;

COMPARATIVE ANALYSIS; COMPARATIVE STUDIES; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL DATA; NON-LINEAR MIXTURE MODELS; REMOTE SENSING IMAGES; SPECTRAL SIGNATURE; SUPERVISED CLASSIFICATION;

NONLINEAR SYSTEMS;

CANOPY ARCHITECTURE; COMPARATIVE STUDY; FOREST; IMAGE CLASSIFICATION; LABORATORY METHOD; MODEL; NONLINEARITY; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SCATTERING; SPECTRAL RESOLUTION; VISUALIZATION;

FORESTRY; IMAGE ANALYSIS; MATHEMATICAL MODELS; REMOTE SENSING;

EID: 70449447668     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802558659     Document Type: Article

References (17)

1. ADAMS, J.B., SMITH, M.O. and JOHNSON, P.E., 1986, Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 Site. Journal of Geophysics, 91, pp. 8098-8112.
2. BAOXIN, H., MILLER, J.R., CHEN, J.M. and HOLLINGER, A., 2004, Retrieval of the canopy leaf area index in the BOREAS flux tower sites using linear spectral mixture analysis. Remote Sensing Environment, 89, pp. 176-188.
3. BOARDMAN, J.W., 1994, Geometric mixture analysis of imaging spectrometry data. In Proceedings of IEEE International Geosciences and Remote Sensing Symposium'94, (New York: IGARSS), pp. 2369-2371.
4. BOARDMAN, J.W. and GOETZ, A.F.H., 1991, Sedimentary facies analysis using AVIRIS data: a geophysical inverse problem. In Proceeding of the 3rd Airborne Visible/infrared Imaging Spectrometer (AVIRIS) Workshop, JPL Publication 91-28.
5. BOREL, C.C. and GERSTL, S.A.W., 1994, Nonlinear spectral mixing models for vegetative and soil surfaces. Remote Sensing of Environment, 47, pp. 403-416.
6. HALL, F.G., SHIMABUKURO, Y.E. and HUEMMRICH, K.F., 1995, Remote sensing of forest biophysical structure using mixture decomposition and geometric reflectance model. Ecology Application, 5, pp. 993-1013.
7. HAPKE, B., 1993, Theory of Reflectance and Emittance Spectroscopy (New York: Cambridge University Press), pp. 110-112.
8. HUETE, A.R., JACKSON, R.D. and POST, D.F., 1985, Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment, 17, pp. 37-53.
9. JOHNSON, P.E., SMITH, M.O., TAYLOR-GEORGE, S. and ADAMS, J.B., 1983, A semi-empirical method for analysis of the reflectance spectra of binary mineral mixtures. Journal of Geophysics, 88, pp. 3557-3561.
10. LI, X. and STRAHLER, A.H., 1986, geometrical-optical modeling of a conifer forest canopy. IEEE Transactions on Geoscience and Remote Sensing, 23, pp. 705-721.
11. MUSTARD, J.F. and PIETERS, C.M., 1987, Abundance and distribution of ultramafic microbreccia in Moses Rock Dike: quantitative application of mapping spectrometer data. Journal of Geophysics, 94, pp. 13619-13634.
12. MUSTARD, J.F. and SUNSHINE, J.M., 1999, Spectral analysis for earth science investigation. In Remote Sensing for the Earth Sciences, pp. 509-564 (New York: John Wiley & Sons Inc.).
13. rd Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, R.O. Green (Ed.), Pasadena, CA, pp. 43-50.
14. ROBERTS, D.A., SMITH, M.O. and ADAMS, J.B., 1993, Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data. Remote Sensing of Environment, 44, pp. 117-126.
15. SMITH, M.O., USTIN, S.L., ADAMS, J.B. and GILLESPIE, A.R., 1990, Vegetation in deserts: I. A regional measure of abundance from multispectral images. Remote Sensing of Environment, 31, pp. 1-26.
16. SABOL, D.E., ADAMS, J.B. and SMITH, M.O., 1992, Quantitative sub-pixel spectral detection of targets in multispectral images. Journal of Geophysics, 97, pp. 2659-2672.
17. SOFFER, R., 1995, Bidirectional reflectance factors of an open tree canopy by laboratory simulation. Master Thesis, York University, Toronto, Canada.