Attributes of neural networks for extracting continuous vegetation variables from optical and radar
暂无分享,去创建一个
Michael T. Manry | Adrian K. Fung | Ross Nelson | Daniel S. Kimes | M. Manry | A. Fung | R. Nelson | D. Kimes
[1] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[2] Michael T. Manry,et al. Backpropagation representation theorem using power series , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[3] William J. Emery,et al. Optimal sampling conditions for estimating grassland parameters via reflectance , 1996, IEEE Trans. Geosci. Remote. Sens..
[4] Alan H. Strahler,et al. Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: effect of crown shape and mutual shadowing , 1992, IEEE Trans. Geosci. Remote. Sens..
[5] F.T. Ulaby,et al. Mimics II: Radiative Transfer Modeling Of Discontinuous Tree Canopies At Microwave Frequencies , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.
[6] Jiaguo Qi,et al. External factor consideration in vegetation index development , 1994 .
[7] Bernard Pinty,et al. Extracting information on surface properties from bidirectional reflectance measurements , 1991 .
[8] S. Jacquemoud. Inversion of the PROSPECT + SAIL Canopy Reflectance Model from AVIRIS Equivalent Spectra: Theoretical Study , 1993 .
[9] Tuomas Haeme,et al. Estimation of forest stand characteristics using Landsat TM, NOAA AVHRR, ERS-1 SAR, and other image data , 1995, Remote Sensing.
[10] Christian Lebiere,et al. The Cascade-Correlation Learning Architecture , 1989, NIPS.
[11] Garik Gutman,et al. Vegetation indices from AVHRR: An update and future prospects , 1991 .
[12] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[13] Kamal Sarabandi,et al. Estimation of forest biophysical characteristics in Northern Michigan with SIR-C/X-SAR , 1995, IEEE Trans. Geosci. Remote. Sens..
[14] Vito Cappellini,et al. Remote Sensing Data Fusion on Intelligent Terminals , 1992, Eur. Trans. Telecommun..
[15] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[16] M.T. Manry,et al. Modular neural network architecture using piece-wise linear mapping , 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.
[17] H. Akaike. A new look at the statistical model identification , 1974 .
[18] Thuy Le Toan,et al. Dependence of radar backscatter on coniferous forest biomass , 1992, IEEE Trans. Geosci. Remote. Sens..
[19] Eric S. Kasischke,et al. Correlating radar backscatter with components of biomass in loblolly pine forests , 1995, IEEE Trans. Geosci. Remote. Sens..
[20] W. Dulaney,et al. Normalized difference vegetation index measurements from the Advanced Very High Resolution Radiometer , 1991 .
[21] R. Dickinson,et al. A physical model of the bidirectional reflectance of vegetation canopies: 2. Inversion and validation , 1990 .
[22] Michael T. Manry,et al. The design of multi-layer perceptrons using building blocks , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.
[23] Michael T. Manry,et al. An automated system for developing neural network short term load forecasters , 1996 .
[24] M. Jakubauskas. Thematic Mapper characterization of lodgepole pine seral stages in Yellowstone National Park, USA , 1996 .
[25] Michael T. Manry,et al. A robust statistical-based estimator for soil moisture retrieval from radar measurements , 1997, IEEE Trans. Geosci. Remote. Sens..
[26] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[27] James A. Smith,et al. LAI inversion using a back-propagation neural network trained with a multiple scattering model , 1993, IEEE Trans. Geosci. Remote. Sens..
[28] Kamal Sarabandi,et al. An iterative inversion algorithm with application to the polarimetric radar response of vegetation canopies , 1994, IEEE Trans. Geosci. Remote. Sens..
[29] Curtis E. Woodcock,et al. Change detection using the Gramm-Schmidt transformation applied to mapping forest mortality , 1994 .
[30] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .
[31] M. T. Manry,et al. A self-organizing system for the development of neural network parameter estimators , 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.
[32] Michael T. Manry,et al. Minimum mean square estimation and neural networks , 1996, Neurocomputing.
[33] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[34] Ghassem Asrar,et al. MTPE EOS Reference Handbook , 1995 .
[35] Edwin T. Engman,et al. Status of remote sensing algorithms for estimation of land surface state parameters , 1995 .
[36] Kurt Hornik,et al. Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks , 1990, Neural Networks.
[37] P. Atkinson,et al. Introduction Neural networks in remote sensing , 1997 .
[38] David B. Fogel. An information criterion for optimal neural network selection , 1991, IEEE Trans. Neural Networks.
[39] F. Ulaby,et al. Vegetation modeled as a water cloud , 1978 .
[40] James D. Keeler,et al. Layered Neural Networks with Gaussian Hidden Units as Universal Approximations , 1990, Neural Computation.
[41] Guoqing Sun,et al. A three-dimensional radar backscatter model of forest canopies , 1995 .
[42] Leung Tsang,et al. Active polarimetric microwave remote sensing of corn and multiparametric retrieval of corn parameters with an artificial neural network , 1993 .
[43] Michael T. Manry,et al. Fast training of neural networks for remote sensing , 1994 .
[44] Michael I. Jordan,et al. Learning piecewise control strategies in a modular neural network architecture , 1993, IEEE Trans. Syst. Man Cybern..
[45] B. Pinty,et al. A physical model of the bidirectional reflectance of vegetation canopies , 1990 .
[46] Steven J. Nowlan,et al. Maximum Likelihood Competitive Learning , 1989, NIPS.
[47] Tomas Hrycej,et al. A modular architecture for efficient learning , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[48] Hean-Teik Chuah,et al. A Monte Carlo method for radar backscatter from a half-space random medium , 1989 .
[49] Qiang Yu,et al. Map estimation and the multilayer perceptron , 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.
[50] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .
[51] Michael T. Manry,et al. Surface parameter retrieval using fast learning neural networks , 1993 .