A comparative assessment between object and pixel-based classification approaches for land-use/land-cover mapping using Spot 5 imagery

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A comparative assessment between object and pixel-based classification approaches for land-use/land-cover mapping using Spot 5 imagery

Land use/land cover (LULC) classification with high accuracy is necessary, especially in eco-environment research, urban planning, vegetation condition study and soil management. Over the last decade a number of classification algorithms have been developed for the analysis of remotely sensed data....

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Bibliographic Details
Main Authors:	Tehrany, Mahyat Shafapour, Pradhan, Biswajeet, Jebuv, Mustafa Neamah
Format:	Article
Language:	English
Published:	Taylor & Francis 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/36135/ http://psasir.upm.edu.my/id/eprint/36135/1/A%20comparative%20assessment%20between%20object%20and%20pixel.pdf

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