A comparative study for unmixing based Landsat ETM plus and ASTER image fusion

被引：14

作者：

Mezned, Nouha ^{[1
]}

Abdeljaoued, Saadi ^{[1
]}

Boussema, Mohamed Rached ^{[2
]}

机构：

[1] Fac Sci Tunis, Lab Ressources Minerales & Environm, Tunis 2092, Tunisia

[2] Ecole Natl Ingenieurs Tunis, Lab Teledetect & Syst Informat References Spatial, Tunis 1002, Tunisia

来源：

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2010年 / 12卷

关键词：

Landsat ETM; ASTER; Multispectral image fusion; Hybrid image; Linear unmixing; Mine tailing cartography;

D O I：

10.1016/j.jag.2009.11.007

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The mineral environment of the Bouaouane-Jebel (Hill) Hallouf mine. In the north of Tunisia, is monitored and analyzed by making use of the laboratory analysis and remote sensing images, ETM+ as well as ASTER VNIR and SWIR data, acquired in the same period. The main contribution of this paper consists of a methodology using multispectral multi-sensor fusion for the refinement of the mine tailing cartography around the Studied mine The developed methodology is based oil the linear spectral unmixing approach which is applied to a multispectral hybrid image This image was generated from the fusion of Landsat ETM+ and ASTER SWIR data A comparative study is made between the hybrid and ASTER (VNIR and SWIR) images classification with respect to laboratory analysis The given results show chat the fusion of Landsat ETM+ and ASTER SWIR multispectral image yields the best mineral detection (C) 2009 Elsevier B V All rights reserved

引用

页码：S131 / S137

页数：7

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