Texture augmented analysis of high resolution satellite imagery in detecting invasive plant species

NCUIR > Research Center > Center for Space and Remote Sensing Research > journal & Dissertation > Item 987654321/35913

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/35913

Title:	Texture augmented analysis of high resolution satellite imagery in detecting invasive plant species
Authors:	Tsai,Fuan;Chou,Ming-Jhong
Contributors:	太空及遙測研究中心
Keywords:	LAND-COVER CLASSIFICATION;VEGETATION TYPES;WETLAND;IKONOS;SCALE;DISCRIMINATION;SEGMENTATION;PERFORMANCE;RETRIEVAL;FEATURES
Date:	2006
Issue Date:	2010-07-07 15:53:47 (UTC+8)
Publisher:	中央大學
Abstract:	During recent decades, a considerable number of alien species have been brought into Taiwan and have caused significant impacts to local ecosystems and biodiversity. High resolution satellite imagery can provide detailed spatial characteristics over a lar
Relation:	JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

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