Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/328488
Type: Artigo
Title: Hyperspectral data classification improved by minimum spanning forests
Author: Silva, Ricardo Dutra da
Pedrini, Helio
Abstract: Remote sensing technology has applications in various knowledge domains, such as agriculture, meteorology, land use, environmental monitoring, military surveillance, and mineral exploration. The increasing advances in image acquisition techniques have all
Subject: Análise de imagem
Sensoriamento remoto
Máquina de vetores de suporte
Classificação de imagem
Country: Estados Unidos
Editor: International Society for Optical Engineering
Citation: Journal Of Applied Remote Sensing. Spie-soc Photo-optical Instrumentation Engineers , v. 10, p. , 2016.
Rights: Aberto
Identifier DOI: 10.1117/1.JRS.10.025007
Address: https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-10/issue-02/025007/Hyperspectral-data-classification-improved-by-minimum-spanning-forests/10.1117/1.JRS.10.025007.full?SSO=1
Date Issue: 2016
Appears in Collections:IC - Artigos e Outros Documentos

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