Fraction Images in Tailing Multi-Temporal Change Detection

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原文链接

NETL

外文摘要：Mine tailings are dependent not only on interacting geochemical and physical processes but also on the temporal and spatial scales at which they are assessed。 This paper addresses the problem of tailings change detection in multitemporal remote-sensing images。 In particular， an approach to supervised change detection， suitable to be used with multispectral multisensor data， is presented。 This approach incorporates multitemporal ASTER SWIR data， Landsat ETM+ data， spectral unmixing method， Post Classification Comparison (PPC) and differencing change detection map。 Experimental results confirm the effectiveness of the proposed approach to detect tailing changes occurring through space and time in the Jebel Hallouf-Bouaouane mine site， in the North of Tunisia。

外文关键词：

mine tailingschange detectionspectral unmixingETM+ dataASTER data

作者：

N. Mezned、S. Abdeljaouad、M.R. Boussema

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作者单位：

Laboratoire de Ressources Minerales et Environnement, Faculty des Sciences, Campus Universitaire du Belvedere, 2092 Tunis,Tunisia

Laboratoire de Teledetection et Systemes d'Infonnations a Reference Spatiale, Ecole Nationale d'Ingenieurs de Tunis, B.P. 37,1002 Tunis Belvedere, Tunisia

会议名称：

International symposium on remote sensing of environment;ISRSE-33

会议地点：

Stresa(IT);Stresa(IT)

会议母体文献：

33rd international symposium on remote sensing of environment : Proceedings

页码：

P.701-704

出版时间：

2009