Publicações

Vegetation Fuel Type Classification Using Optimised Synergy of Sentinel Data and Texture Feature

AuthID
P-00Z-FYP

Author(s)

Mohammadpour, P

Viegas, DX

Chuvieco, E

Pereira, A

Mantas, V

Tipo de Documento

Proceedings Paper

Year published

2023

Publicado

in IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM in IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN: 2153-6996

Volume: 2023-July, Páginas: 3098-3101 (4)

Conference

Ieee International Geoscience and Remote Sensing Symposium (Igarss), Date: JUL 16-21, 2023, Location: Pasadena, CA

Indexing

Wos^®

Scopus^®

Crossref^®

Google Scholar^®

Metadata
Fontes

Publication Identifiers

DOI: 10.1109/igarss52108.2023.10281659

SCOPUS: 2-s2.0-85178325652

Wos: WOS:001098971603077

Source Identifiers

ISSN: 2153-6996

Export Publication Metadata

Lista Marked

Adicionar à lista Marked

Info

At this moment we don't have any links to full text documens.

Vegetation Fuel Type Classification Using Optimised Synergy of Sentinel Data and Texture Feature

Links Úteis

Ajuda

Autenticação Federada (Clique na imagem)

Vegetation Fuel Type Classification Using Optimised Synergy of Sentinel Data and Texture Feature

Links Úteis

Ajuda