1. J. M. Bernardo and A. F. M. Smith. Bayesian Theory. Wiley, 1996. [bibtex-entry]



2. M. H. Hayes. Statistical Digital Signal Processing and Modeling. Wiley, 1996. [bibtex-entry]

1. C. Berrou and A. Glavieux. Near optimum error correcting coding and decoding: Turbo-codes. IEEE Trans. on Communications, 44:1261-1271, 1996. [bibtex-entry]



2. Juha Hyyppä and Martti Hallikainen. Applicability of Airborne Profiling Radar to Forest Inventory. rse, 57:39-57, 1996. [WWW ] Keyword(s): Radar, Forestry, Data reduction, Radar measurement, Helicopters, Estimation, Remote sensing, Airborne profiling radar, Forest inventory, Ranging scatterometer, Forest canopy, Multivariate data analysis, Radar stand profiles. [Abstract] [bibtex-entry]



3. R. Lanari, G. Fornaro, D. Riccio, M. Migliaccio, K. P. Papathanassiou, J. R. Moreira, M. Schwäbisch, L. Dutra, G. Puglisi, G. Franceschetti, and M. Coltelli. Generation of Digital Elevation Models by Using SIR-C/X-SAR Multifrequency Two-Pass Interferometry: The Etna Case Study. TGARS, 34(5):1097-1114, September 1996. Note: NOTE: This is a multi-frequency reference I when I talk about why it doesn't work for the vegetation estimation problem. Note, they also fuse their data using a Kalman approach. However, it is not multiscale, and they deal with nonlinearities by polynomial curve fitting, etc.[bibtex-entry]



4. Mats Nilsson. Estimation of Tree Heights and Stand Volume Using an Airborne Lidar System. rse, 56:1-7, 1996. [WWW ] Keyword(s): Environmental engineering, Estimation, Optical radar, Lasers, Scanning, Data acquisition, Coastal zones, Tree height, Stand volume, airborne laser scanner. [Abstract] [bibtex-entry]



5. R. N. Treuhaft, S. N. Madsen, M. Moghaddam, and J. J. van Zyl. Vegetation Characteristics and Underlying Topography from Interferometric Radar. RADIO, 31(6):1449-1485, November 1996. Note: NOTE: Thi. [bibtex-entry]

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