On the information content of multiple view angle (MVA) images

International Journal of Remote Sensing

Volumn 18, Issue 9, 1997, Pages 1937-1960

  Barnsley, M J ^a   Allison, D ^b   Lewis, P ^b  

^a SWANSEA UNIVERSITY   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; IMAGE SENSORS; INFRARED IMAGING; MATHEMATICAL MODELS; MULTISPECTRAL SCANNERS; PATTERN RECOGNITION; STATISTICAL METHODS;

BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION (BDRF); LAND COVER; LINEAR CORRELATION ANALYSIS; MULTIPLE VIEW ANGLE (MVA) IMAGES; PRINCIPAL COMPONENTS ANALYSIS (PCA);

REMOTE SENSING;

AIRBORNE IMAGING; LAND COVER; MSS; MULTIPLE VIEW ANGLE; REMOTE SENSING; SENSOR VIEW ANGLE;

EID: 0031156247     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697217963     Document Type: Article

References (45)

1. Abuelgasim, A., Gopal, S., Irons, J., and Strahler, A 1995, An artificial neural network for the classification of ASAS directional measurements. Remote Sensing of Environment.
2. Abuelgasim, A., Gopal, S., Irons, J. R., and Strarner, A. H., 1994, Classification of asas multiangle and multispectral measurements using artificial neural networks. Remote Sensing of Environment, 57, 79-87.
3. Ahmad, S. P., and Deering, D. W., 1992, A simple analytical function for bidirectional reflectance. Journal of Geophysical Research, 97, 18867-18886.
4. Anison, D., Barnsley, M. J., Lewis, P., Dyble, N. J., and Muner, J.-P., 1994, Precise geometric registration of ASAS airborne data for land surface BRDF studies. Proceedings of the 1994 Symposium of the IEEE Geoscience and Remote Sensing Society, Pasadena, California, U.S.A., 8-12 August 1994, (New York: IEEE), pp. 1655-1658.
5. Anison, D., and Muner, J.-P., 1992, An automated system for sub-pixel correction and geocoding of multispectral and multi-look aerial imagery. Proceedings of the XVII Congress of the International Society for Photogrammetry and Remote Sensing, Washington D.C., 2-14 August 1992, vol. 29(B2), (Bethesda, MD: ISPRS), pp. 275-285.
6. Anison, D., Zemeny, M. J. A., and Muner, J.-P., 1991, Automatic seed point generation for stereo matching and multi-image registration. Proceedings of Symposium of the IEEE Geoscience and Remote Sensing Society, Helsinki, Finland, 3-6 June 1991, (New York: IEEE), pp. 2417-2422.
7. Barnsley, M. J., 1994, Environmental monitoring using multiple view angle (MVA) remotelysensed images. In Environmental Remote Sensing From Regional to Global Scales, edited by P. J. Curran and G. Foody, (Chichester: John Wiley and Sons), 181-201.
8. Barnsley, M. J., and Kay, S. A. W., 1990, The relationship between sensor geometry, vegetation-canopy geometry, and image variance. International Journal of Remote Sensing, 11, 1075-1084.
9. Barnsley, M. J., Morris, K., and Reid, A., 1990, Preliminary analysis of a multiple-view-angle image data set. Proceedings of a Symposium on the 1989 NERC Airborne Remote Sensing Campaign, held at BGS, Keyworth, U.K., (Swindon: NERC), pp. 49-68.
10. Barnsley, M. J., Strarner, A. N., Morris, K. P., and Muner, J.-P., 1994, Sampling the surface bidirectional reflectance distribution function (BRDF): 1. Evaluation of current and future satellite sensors. Remote Sensing Reviews, 8, 271-311.
11. Deering, D. W., and Eck, T. F., 1987, Atmospheric optical depth effects on angular anisotropy of plant canopy reflectance. International Journal of Remote Sensing, 8, 893-916.
12. Deering, D. W., Eck, T. F., and Otterman, J., 1989, Bidirectional reflectances of three soil surfaces and their characterization through model inversion. Proceedings of the 1989 Symposium of the IEEE Geoscience and Remote Sensing Society, Vancouver, 10-14 July 1989, (New York: IEEE), pp. 670-673.
13. Gerstl, S. A. W., and Simmer, C., 1986, Radiation physics and modelling for non-Lambertian surfaces. Remote Sensing of Environment, 20, 1-29.
14. Goel, N. S., 1988, Models of vegetation canopy reflectance and their use in the estimation of biophysical parameters from reflectance data. Remote Sensing Reviews, 3, 1-212.
15. Goel, N. S., and Reynolds, N. E., 1989, Bidirectional canopy reflectance and its relationship to vegetation characteristics. International Journal of Remote Sensing, 10, 107-132.
16. Gruen, A. W., and Baltsavias, E. P., 1987, High precision image matching for digital terrain model generation. International Archives of Photogrammetry, 26, 284-296.
17. Jupp, D. L. B. J., and Strarner, A. H., 1991, A hotspot model for leaf canopies. Remote Sensing of Environment, 38, 193-210.
18. Kimes, D. S., 1983, Dynamics of directional reflectance factor distributions for vegetation canopies. Applied Optics, 22, 1364-1372.
19. Kimes, D. S., and Seners, P. J., 1985, Inferring hemispherical reflectance of the Earth’s surface for global energy budgets from remotely-sensed nadir or directional radiance values. Remote Sensing of Environment, 18, 205.
20. Kimes, D. S., Severs, P. J., and Diner, D. J., 1987, Extraction of spectral hemispherical reflectance (albedo) of surfaces from nadir and directional reflectance data. International Journal of Remote Sensing, 8, 205-223.
21. Leroy, M., and Roujean, J. L., 1994, Sun and view angle corrections on reflectance derived from NOAA/AVHRR data. IEEE Transactions on Geoscience and Remote Sensing, 32, 684-697.
22. Li, X., and StrahLer, A. H., 1986, Geometrical-optical bidirectional reflectance modelling of a conifer forest canopy. IEEE Transactions on Geoscience and Remote Sensing, 24, 906-919.
23. Li, X., and Strarner, A. H., 1992, Geometric-optical bidirectional reflectance modelling of the discrete-crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience and Remote Sensing, 30, 276-292.
24. Liang, S., and Strarner, A. H., 1993, An analytic BRDF model of canopy radiative transfer and its inversion. IEEE Transactions on Geoscience and Remote Sensing, 31, 1081-1092.
25. Liang, S., and Strarner, A. H., 1994, Retrieval of surface BRDF from multiangle remotely sensed data. Remote Sensing of Environment, 50, 18-30.
26. Martonchik, J. V., and Diner, D. J., 1992, Retrieval of aerosol and land surface optical properties from multi-angle satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 30, 223-230.
27. Mather, P. M., 1987, Computer Processing of Remotely-Sensed Images: An Introduction (Chichester: John Wiley).
28. Myneni, R. B., Ross, J., and Asrar, G., 1989, A review of the theory of photon transport in leaf canopies. Agricultural Forestry Meteorology, 45, 1-153.
29. Nmson, T., and Kuusk, A., 1989, A reflectance model for the homogeneous plant canopy and its inversion. Remote Sensing of Environment, 27, 157-167.
30. Otterman, J., 1985, Bidirectional and hemispheric reflectivities of a bright soil plane and a sparse dark canopy. International Journal of Remote Sensing, 6, 897-902.
31. Otterman, J., Strebel, D. E., and Ranson, K. J., 1987, Inferring spectral reflectances of plant elements by simple inversion of bidirectional reflectance measurements. Remote Sensing of Environment, 21, 215-228.
32. Pinty, B., and Verstraete, M. M., 1991, Extracting information on surface properties from bidirectional reflectance measurements. Journal of Geophysical Research, 96, 2865-2874.
33. Pinty, B., Verstraete, M. M., and Dickinson, R. E., 1989, A physical model for predicting bidirectional reflectances over bare soil. Remote Sensing of Environment, 27, 273-288.
34. Pinty, B., Verstraete, M. M., and Dickinson, R. E., 1990, A physical model of the bidirectional reflectance of vegetation canopies, 2. Inversion and validation. Journal of Geophysical Research, 95, 11767-11775.
35. Powers, B. J., and Gerstl, S. A. W., 1988, Modeling of atmospheric effects on the angular distribution of a backscatter peak. IEEE Transactions on Geoscience and Remote Sensing, 26, 649-659.
36. Proy, C., Tanre, D., and Deschamps, P. Y., 1989, Evaluation of topographic effects in remotely sensed data. Remote Sensing of Environment, 30, 21-32.
37. Ranson, K. J., Biern, L. L., and Bauer, M. E., 1985 a, Variation in spectral response of soybeans with respect to illumination, view and canopy geometry. International Journal of Remote Sensing, 6, 1827-1842.
38. Ranson, K. J., Daughtry, C. S. T., Biern, L. L., and Bauer, M. E., 1985b, Sun-view angle effects on reflectance factors of corn canopies. Remote Sensing of Environment, 18, 147-161.
39. Ranson, K. J., Irons, J. R., and Daughtry, C. S. T., 1991, Surface albedo from bidirectional reflectance. Remote Sensing of Environment, 35, 201-211.
40. Roujean, J. L., Leroy, M., and Deschamps, P. Y., 1992, A bidirectional reflectance model of the Earth’s surface for the correction of remote sensing data. Journal of Geophysical Research, 97, 20455-20468.
41. Ross, J. K., and Marshak, A. L., 1988, Calculation of canopy directional reflectance using the Monte Carlo Method. Remote Sensing of Environment, 24, 213-225.
42. Ross, J. K., and Marshak, A. L., 1989, Influence of leaf orientation and the specular component of leaf reflectance on the canopy bidirectional reflectance. Remote Sensing of Environment, 24, 213-225.
43. Tanre, D., Herman, M. and Deschamps, P. Y 1983, Influence of the atmosphere on space measurements of directional properties. Applied Optics, 22, 733-741.
44. Verstraete, M. M., Pinty, B., and Dickinson, R. E., 1990, A physical model of the bidirectional reflectance of vegetation canopies, 1. Theory. Journal of Geophysical Research, 95, 11755-11765.
45. Walthall, C. L., Norman, J. M., Welles, J. M., Campbell, G., and Blad, B. L., 1985, Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces. Applied Optics, 24, 383-387.