High order singular value decomposition for plant diversity estimation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F21%3A87003" target="_blank" >RIV/60460709:41330/21:87003 - isvavai.cz</a>

Result on the web

<a href="https://arxiv.org/abs/1911.13076" target="_blank" >https://arxiv.org/abs/1911.13076</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s40574-021-00300-w" target="_blank" >10.1007/s40574-021-00300-w</a>

Result language

angličtina

Original language name

High order singular value decomposition for plant diversity estimation

Original language description

We propose a new method to estimate plant diversity with Renyi and Rao indexes through the so called High Order Singular Value Decomposition (HOSVD) of tensors. Starting from NASA multi-spectral images we evaluate diversity and we compare original diversity estimates with those realized via the HOSVD compression methods for big data. Our strategy turns out to be extremely powerful in terms of memory storage and precision of the outcome. The obtained results are so promising that we can support the efficiency of our method in the ecological framework.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10618 - Ecology

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Bolletino dell Unione Matematica Italiana

ISSN

1972-6724

e-ISSN

2198-2759

Volume of the periodical

14

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

35

Pages from-to

557-591

UT code for WoS article

000659825500001

EID of the result in the Scopus database

2-s2.0-85107507812