Comparison of two Classification methods (MLC and SVM) to extract land use and land cover in Johor Malaysia

Publisher： IOP Publishing

ISSN： 1755-1315

Source： IOP Conference Series: Earth and Environmental Science, Vol.20, Iss.1, 2014-06, pp. : 517-522

Access to resources Favorite

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

Land Cover Classification Using ALOS Imagery For Penang, Malaysia

By  

IOP Conference Series: Earth and Environmental Science, Vol. 18, Iss. 1, 2014-02 ,pp. : 150-154

IOP Publishing

Access to resources Recommend Favorite

Land-Use and Land-Cover Mapping Using a Gradable Classification Method

By Kitada Keigo   Fukuyama Kaoru  

Remote Sensing, Vol. 4, Iss. 6, 2012-05 ,pp. : 1544-1558

MDPI

Access to resources Recommend Favorite

Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement

By Manandhar Ramita   Odeh Inakwu O. A.   Ancev Tiho  

Remote Sensing, Vol. 1, Iss. 3, 2009-07 ,pp. : 330-344

MDPI

Access to resources Recommend Favorite

Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

By Huth Juliane   Kuenzer Claudia   Wehrmann Thilo   Gebhardt Steffen   Tuan Vo Quoc   Dech Stefan  

Remote Sensing, Vol. 4, Iss. 9, 2012-09 ,pp. : 2530-2553

MDPI

Access to resources Recommend Favorite

Land Use/Land Cover Change Analysis Using Object-Based Classification Approach in Munessa-Shashemene Landscape of the Ethiopian Highlands

By Kindu Mengistie   Schneider Thomas   Teketay Demel   Knoke Thomas  

Remote Sensing, Vol. 5, Iss. 5, 2013-05 ,pp. : 2411-2435

MDPI

Access to resources Recommend Favorite