Assessing the Performance of Independent Component Analysis in Remote Sensing Data Processing

被引：0
作者：
Raoof Gholami
Ali Moradzadeh
Mahyar Yousefi
机构：
[1] Shahrood University of Technology,Faculty of Mining, Petroleum and Geophysics
[2] Shahrood University of Technology,Petroleum and Geophysics
[3] Shahrood University of Technology,Faculty of Mining, Petroleum and Geophysics
来源：
Journal of the Indian Society of Remote Sensing | 2012年 / 40卷
关键词：
Independent component analysis; Transformation; Eigenvector; Band selection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Independent component analysis (ICA) is a novel method to be considered as a powerful type of analysis in the process of source signal separation. Based on the capabilities of this particular analysis, there will be a hypothesis of applying ICA in the image processing of remote sensing data. This paper aims to introduce the ability of ICA in contrasting and highlighting some area with potential of mineralization. Considering and applying ICA transformation on the ETM+ image of southern Masule, Iran has resulted in finding some favorable points for further investigation. Moreover, sampling program on the indicated area has led to identify some huge, unexpected lithology and dikes. ICA analysis is a robust method even in remote sensing data processing with the high speed and capabilities in separating source signals from noise.
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页码：577 / 588
页数：11
相关论文
共 54 条
[1]  
Abdelsalam MG(2000)Mapping gossans in arid regions with Landsat TM and SIR-C images: the Beddaho alteration zone in northern Eritrea Journal of African Earth Sciences 30 903-916
[2]  
Stern RJ(1983)Remote sensing of porphyry copper deposits in Southern Arizona Economic Geology 78 591-604
[3]  
Berhane WG(1999)The 'Independent Components' of natural scenes are edge filters Vision Research 37 3327-3338
[4]  
Abrams MJ(1999)Independent component analysis for remote sensing study Proceedings of SPIE 387 150-158
[5]  
Brown D(1994)Independent component analysis, a new concept? Signal Processing 36 287-314
[6]  
Lepley L(1995)Predictive vegetative mapping: geographic modeling of biospatial patterns in relation to environmental gradients Progress in Physical Geography 19 474-499
[7]  
Sadowski R(1983)Remote sensing for exploration: an overview Economic Geology 78 573-590
[8]  
Bell AJ(1997)An introduction to multisensor data fusion Proceedings of The IEEE 85 6-23
[9]  
Sejnowski TJ(1999)Fast and robust fixed-point algorithms for independent component analysis IEEE Trans. on Neural Networks 10 626-634
[10]  
Chen CH(1999)Survey on independent component analysis Neural Computing Surveys 2 94-128
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