Fast Unsupervised Multi-Scale Characterization of Urban Landscapes Based on Earth Observation Data

Most remote sensing studies of urban areas focus on a single scale, using supervised methodologies and very few analyses focus on the “neighborhood” scale. The lack of multi-scale analysis, together with the scarcity of training and validation datasets in many countries lead us to propose a single f...

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Detalhes bibliográficos

Principais autores:	Claire Teillet, Benjamin Pillot, Thibault Catry, Laurent Demagistri, Dominique Lyszczarz, Marc Lang, Pierre Couteron, Nicolas Barbier, Arsène Adou Kouassi, Quentin Gunther, Nadine Dessay
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-06-01
coleção:	Remote Sensing
Assuntos:	remote sensing multi-scale unsupervised urban landscapes texture
Acesso em linha:	https://www.mdpi.com/2072-4292/13/12/2398
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