Evaluating the performance of PC-ANN for the estimation of rice nitrogen concentration from canopy hyperspectral reflectance

By Yi Qiuxiang   Huang Jingfeng   Wang Fumin   Wang Xiuzhen  

International Journal of Remote Sensing, Vol. 31, Iss. 4, 2010-04 ,pp. : 931-940

Taylor & Francis Ltd

Access to resources Recommend Favorite

Inverting a canopy reflectance model using a neural network

By Gong P.   Wang D. X.   Liang S.  

International Journal of Remote Sensing, Vol. 20, Iss. 1, 1999-01 ,pp. : 111-122

Taylor & Francis Ltd

Access to resources Recommend Favorite

Forward and inverse modelling of canopy directional reflectance using a neural network

By Strahler Abdelgadir A. Abuelgasim Sucharita Gopal Alan H.  

International Journal of Remote Sensing, Vol. 19, Iss. 3, 1998-02 ,pp. : 453-471

Taylor & Francis Ltd

Access to resources Recommend Favorite

A whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra

By III E. Ramsey   Nelson G.  

International Journal of Remote Sensing, Vol. 26, Iss. 8, 2005-04 ,pp. : 1589-1610

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comparison between back propagation neural network and regression models for the estimation of pigment content in rice leaves and panicles using hyperspectral data

By Chen L.   Huang J. F.   Wang F. M.   Tang Y. L.  

International Journal of Remote Sensing, Vol. 28, Iss. 16, 2007-01 ,pp. : 3457-3478

Taylor & Francis Ltd

Access to resources Recommend Favorite