Rule-based classification of high-resolution imagery over urban areas in New York City

Author： Bhaskaran Sunil   Nez Eric   Jimenez Karolyn   Bhatia Sanjiv K.  

Publisher： Taylor & Francis Ltd

ISSN： 1010-6049

Source： Geocarto International, Vol.28, Iss.6, 2013-10, pp. : 527-545

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

Development of fuzzy rule-based parameters for urban object-oriented classification using very high resolution imagery

By Hamedianfar Alireza   Shafri Helmi Z.M.  

Geocarto International, Vol. 29, Iss. 3, 2014-04 ,pp. : 268-292

Taylor & Francis Ltd

Access to resources Recommend Favorite

Integration of high-resolution imagery and LiDAR data for object-based classification of urban area

By Mehta A.   Dikshit O.   Venkataramani K.  

Geocarto International, Vol. 29, Iss. 4, 2014-05 ,pp. : 418-432

Taylor & Francis Ltd

Access to resources Recommend Favorite

New high-resolution grid of gravimetric terrain corrections over Australia

By Featherstone W. E.   Kirby J. F.  

Australian Journal of Earth Sciences, Vol. 49, Iss. 5, 2002-10 ,pp. : 773-774

Taylor & Francis Ltd

Access to resources Recommend Favorite

Semi-automatic building extraction in dense urban settlement areas from high-resolution satellite images

By Mayunga S.D.   Coleman D. J.   Zhang Y.  

Survey Review, Vol. 42, Iss. 315, 2010-01 ,pp. : 50-61

Maney Publishing

Access to resources Recommend Favorite

High-Resolution Seismic Reflection Evidence for Middle Holocene Environmental Change, Owasco Lake, New York

By Mullins H.T.   Halfman J.D.  

Quaternary Research, Vol. 55, Iss. 3, 2001-05 ,pp. : 322-331

Academic Press

Access to resources Recommend Favorite