Wavelet-based fractal and multifractal analysis for detecting mineral deposits using multispectral images taken by drones

Orietta Nicolis; Cristian Gonzalez

doi:10.1016/B978-0-323-85617-1.00017-5

Wavelet-based fractal and multifractal analysis for detecting mineral deposits using multispectral images taken by drones

Orietta Nicolis, Cristian Gonzalez

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

Abstract

In this work we propose a new methodology for the analysis of multispectral images taken by drones. The method consists of assessing the fractal and multifractal features of rock multispectral images using 2D wavelet transform to identify mineral deposits.

Original language	English
Title of host publication	Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology
Publisher	Elsevier
Pages	295-307
Number of pages	13
ISBN (Electronic)	9780323856171
DOIs	https://doi.org/10.1016/B978-0-323-85617-1.00017-5
Publication status	Published - 1 Jan 2021

Keywords

2D wavelet transform
Drone
Fractal
Mineral deposit
Multifractal
Multispectral image

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
General Business,Management and Accounting

Access to Document

10.1016/B978-0-323-85617-1.00017-5

Cite this

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AU - Gonzalez, Cristian

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AB - In this work we propose a new methodology for the analysis of multispectral images taken by drones. The method consists of assessing the fractal and multifractal features of rock multispectral images using 2D wavelet transform to identify mineral deposits.

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KW - Drone

KW - Fractal

KW - Mineral deposit

KW - Multifractal

KW - Multispectral image

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M3 - Chapter

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SP - 295

EP - 307

BT - Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology

PB - Elsevier

ER -

Wavelet-based fractal and multifractal analysis for detecting mineral deposits using multispectral images taken by drones

Abstract

Keywords

ASJC Scopus subject areas

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