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

Author： Fan Wenyi   Hu Baoxin   Miller John   Li Mingze  

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.30, Iss.11, 2009-01, pp. : 2951-2962

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

New Approach to Linear Exact Model Matching for a Class of Nonlinear Systems

By Paraskevopoulos P.N.   Tsirikos A.S.  

Journal of Optimization Theory and Applications, Vol. 94, Iss. 3, 1997-09 ,pp. : 591-617

Springer Publishing Company

Access to resources Recommend Favorite

Non-linear Model for Wood Saturation

By Kowalski S.J.  

Transport in Porous Media, Vol. 46, Iss. 1, 2002-01 ,pp. : 77-89

Springer Publishing Company

Access to resources Recommend Favorite

Retrieval of crop canopy properties: a comparison between model inversion from hyperspectral data and image classification

By Casa R.   Jones H. G.  

International Journal of Remote Sensing, Vol. 25, Iss. 6, 2004-03 ,pp. : 1119-1130

Taylor & Francis Ltd

Access to resources Recommend Favorite

Unsupervised classification of hyperspectral data: an ICA mixture model based approach

By Shah Chintan   Arora Manoj   Varshney Pramod  

International Journal of Remote Sensing, Vol. 25, Iss. 2, 2004-01 ,pp. : 481-487

Taylor & Francis Ltd

Access to resources Recommend Favorite

A partially linear additive model for clustered proportion data

By  

STATISTICS IN MEDICINE, Vol. 37, Iss. 6, 2018-03 ,pp. : 1009-1030

John Wiley & Sons Inc

Access to resources Recommend Favorite