Use of synthetic bands derived from mixing models in the multispectral classification of remote sensing images

Author： Aguiar A. P. D. Shimabukuro Y. E. Mascarenhas N. D. A.

ISSN： 1366-5901

Source： International Journal of Remote Sensing, Vol.20, Iss.4, 1999-03, pp. : 647-657

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

Coastline interpretation from multispectral remote sensing images using an association rule algorithm

By Wang Changying Zhang Jie Ma Yi

International Journal of Remote Sensing, Vol. 31, Iss. 24, 2010-07 ,pp. : 6409-6423

Taylor & Francis Ltd

Access to resources Recommend Favorite

A method to incorporate uncertainty in the classification of remote sensing images

By Goncalves Luisa Fonte Cidalia Julio Eduardo Caetano Mario

International Journal of Remote Sensing, Vol. 30, Iss. 20, 2009-01 ,pp. : 5489-5503

Taylor & Francis Ltd

Access to resources Recommend Favorite

A new spatio-spectral morphological segmentation for multi-spectral remote-sensing images

By Noyel G. Angulo J. Jeulin D.

International Journal of Remote Sensing, Vol. 31, Iss. 22, 2010-07 ,pp. : 5895-5920

Taylor & Francis Ltd

Access to resources Recommend Favorite

Remote sensing of aerosols in urban areas from very high spatial resolution images: application of the OSIS code to multispectral PELICAN airborne data

By Thomas Colin Briottet Xavier Santer Richard

International Journal of Remote Sensing, Vol. 34, Iss. 3, 2013-02 ,pp. : 919-937

Taylor & Francis Ltd

Access to resources Recommend Favorite

Automated urban land-use classification with remote sensing

By Hu Shougeng Wang Le

International Journal of Remote Sensing, Vol. 34, Iss. 3, 2013-02 ,pp. : 790-803

Taylor & Francis Ltd

Access to resources Recommend Favorite