Supervised Classification of Satellite Images to Analyze Multi-Temporal Land Use and Coverage : A Case Study for the Town of MARABA, State of PARA, Brazil

Aranha, Priscila Siqueira; Monteiro, Flavia Pessoa; Ignácio, Paulo André; Antonio, Jorge; Souza, Moraes de; Vijaykumar, Nandamudi Lankalapalli; Monteiro, Maurílio de Abreu; Renato, Carlos

doi:10.5121/csit.2015.50602

Computer Science &Amp; Information Technology ( CS &Amp; IT ) 2015

DOI: 10.5121/csit.2015.50602

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Supervised Classification of Satellite Images to Analyze Multi-Temporal Land Use and Coverage : A Case Study for the Town of MARABA, State of PARA, Brazil

Priscila Siqueira Aranha¹,

Flavia Pessoa Monteiro²,

Paulo André Ignácio³

et al.

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Study on Deep Learning of Ore-Controlling Characteristics of Geological Morphology and 3D Metallogenic Prediction Based on Shape Context—A Case Study of Dayingezhuang Gold Deposit

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Study on Deep Learning of Ore-Controlling Characteristics of Geological Morphology and 3D Metallogenic Prediction Based on Shape Context—A Case Study of Dayingezhuang Gold Deposit

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Supervised Classification of Satellite Images to Analyze Multi-Temporal Land Use and Coverage : A Case Study for the Town of MARABA, State of PARA, Brazil

Abstract: ABSTRACT

Cited by 1 publication

References 13 publications

Study on Deep Learning of Ore-Controlling Characteristics of Geological Morphology and 3D Metallogenic Prediction Based on Shape Context—A Case Study of Dayingezhuang Gold Deposit

Study on Deep Learning of Ore-Controlling Characteristics of Geological Morphology and 3D Metallogenic Prediction Based on Shape Context—A Case Study of Dayingezhuang Gold Deposit

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