Semi-automated segment generation for geographic novelty detection using edge and area metrics

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Semi-automated segment generation for geographic novelty detection using edge and area metrics

An approach to generating accurate image segments for land-cover mapping applications is to model the process as an optimisation problem. Area-based empirical discrepancy metrics are used to evaluate instances of generated segments in the search process. An edge metric, called the pixel corresponden...

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Bibliographic Details
Main Authors:	Fourie, C., van Niekerk, A., Mucina, Ladislav
Format:	Journal Article
Published:	CONSAS Conference 2012
Online Access:	http://www.ajol.info/index.php/sajg/article/viewFile/107006/96913 http://hdl.handle.net/20.500.11937/6973

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