Comparing the performance of fuzzy and crisp classifiers on remotely sensed images: a case of snow classification

Author： Pepe Monica   Boschetti Luigi   Brivio Pietro Alessandro   Rampini Anna  

Publisher： Taylor & Francis Ltd

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.31, Iss.23, 2010-07, pp. : 6189-6203

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

Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images

By Ray B. Mannan J. Roy A. K.  

International Journal of Remote Sensing, Vol. 19, Iss. 4, 1998-03 ,pp. : 767-774

Taylor & Francis Ltd

Access to resources Recommend Favorite

Genetic classifiers for remotely sensed images: comparison with standard methods

By Pal S. K.   Bandyopadhyay S.   Murthy C. A.  

International Journal of Remote Sensing, Vol. 22, Iss. 13, 2001-09 ,pp. : 2545-2569

Taylor & Francis Ltd

Access to resources Recommend Favorite

Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation

By Pal S. K.   Ghosh A.   Shankar B. Uma  

International Journal of Remote Sensing, Vol. 21, Iss. 11, 2000-07 ,pp. : 2269-2300

Taylor & Francis Ltd

Access to resources Recommend Favorite

A fuzzy classification of sub-urban land cover from remotely sensed imagery

By Foody J. Zhang G. M.  

International Journal of Remote Sensing, Vol. 19, Iss. 14, 1998-09 ,pp. : 2721-2738

Taylor & Francis Ltd

Access to resources Recommend Favorite

Texture extraction for object-oriented classification of high spatial resolution remotely sensed images using a semivariogram

By Yue Anzhi   Zhang Chao   Yang Jianyu   Su Wei   Yun Wenju   Zhu Dehai  

International Journal of Remote Sensing, Vol. 34, Iss. 11, 2013-06 ,pp. : 3736-3759

Taylor & Francis Ltd

Access to resources Recommend Favorite