Pattern decomposition method in the albedo space for Landsat TM and MSS data analysis

By Muramatsu K.   Furumi S.   Fujiwara N.   Hayashi A.   Daigo M.   Ochiai F.  

International Journal of Remote Sensing, Vol. 21, Iss. 1, 2000-01 ,pp. : 99-119

Taylor & Francis Ltd

Access to resources Recommend Favorite

A new supervised classification method for quantitative analysis of remotely-sensed multi-spectral data

By Akdeniz H. Erol F.  

International Journal of Remote Sensing, Vol. 19, Iss. 4, 1998-03 ,pp. : 775-782

Taylor & Francis Ltd

Access to resources Recommend Favorite

Assessment of the universal pattern decomposition method using MODIS and ETM data

By Zhang Lifu   Fujiwara N.   Furumi S.   Muramatsu K.   Daigo M.   Zhang Liangpei  

International Journal of Remote Sensing, Vol. 28, Iss. 1, 2007-01 ,pp. : 125-142

Taylor & Francis Ltd

Access to resources Recommend Favorite

An evaluation of the effect of the spectral response function of satellite sensors on the precision of the universal pattern decomposition method

By Zhang Lifu   Liu Bo   Zhang Bing   Tong Qingxi  

International Journal of Remote Sensing, Vol. 31, Iss. 8, 2010-03 ,pp. : 2083-2090

Taylor & Francis Ltd

Access to resources Recommend Favorite

Spatial analysis of thermal anomalies from airborne multi-spectral data

By Zhang X.   Van Genderen J.   Guan H.   Kroonenberg S.  

International Journal of Remote Sensing, Vol. 24, Iss. 19, 2003-10 ,pp. : 3727-3742

Taylor & Francis Ltd

Access to resources Recommend Favorite