DOI: 10.1016/j.jag.2015.12.004
Scopus记录号: 2-s2.0-84988734879
论文题名: A review on spectral processing methods for geological remote sensing
作者: Asadzadeh S ; , de Souza Filho C ; R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 47 起始页码: 69
结束页码: 90
语种: 英语
英文关键词: Algorithm
; Categorization
; Geologic remote sensing
; Hyperspectral
; Mineral mapping
; Multispectral
; Spectral processing
Scopus关键词: algorithm
; hybridization
; imaging method
; mapping
; mineral resource
; remote sensing
; spectral analysis
; trend analysis
英文摘要: In this work, many of the fundamental and advanced spectral processing methods available to geologic remote sensing are reviewed. A novel categorization scheme is proposed that groups the techniques into knowledge-based and data-driven approaches, according to the type and availability of reference data. The two categories are compared and their characteristics and geologic outcomes are contrasted. Using an oil-sand sample scanned through the sisuCHEMA hyperspectral imaging system as a case study, the effectiveness of selected processing techniques from each category is demonstrated. The techniques used to bridge between the spectral data and other geoscience products are then discussed. Subsequently, the hybridization of the two approaches is shown to yield some of the most robust processing techniques available to multi- and hyperspectral remote sensing. Ultimately, current and future challenges that spectral analysis are expected to overcome and some potential trends are highlighted. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80129
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Geosciences, University of Campinas, UNICAMP PO Box 6152, Campinas, SP, Brazil
Recommended Citation:
Asadzadeh S,, de Souza Filho C,R. A review on spectral processing methods for geological remote sensing[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,47