Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/329837
Type: Artigo
Title: A Review On Spectral Processing Methods For Geological Remote Sensing
Author: Asadzadeh
Saeid; de Souza Filho
Carlos Roberto
Abstract: 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. (C) 2015 Elsevier B.V. All rights reserved.
Subject: Spectral Processing
Geologic Remote Sensing
Mineral Mapping
Algorithm
Categorization
Multispectral
Hyperspectral
Editor: Elsevier Science BV
Amsterdam
Rights: fechado
Identifier DOI: 10.1016/j.jag.2015.12.004
Address: http://www.sciencedirect.com/science/article/pii/S0303243415300696
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000371099000007.pdf6.68 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.