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		<isbn>978-85-17-0076-8</isbn>
		<label>1114</label>
		<citationkey>MoraesMRDSDLM:2015:TeDePa</citationkey>
		<title>Testes para definição dos parâmetros de detecção de nuvens e sombras em imagens do sensor AWIFS no plugin Cloud Detection, do aplicativo TerraAmazon</title>
		<format>Internet</format>
		<year>2015</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>729 KiB</size>
		<author>Moraes, Douglas Rafael Vidal,</author>
		<author>Miranda, Magda Valéria Corrêa,</author>
		<author>Rosa, Amanda Gama,</author>
		<author>Diniz, Cesar Guerreiro,</author>
		<author>Souza, Arlesson Antonio de Almeida,</author>
		<author>Dias, Mírian Corrêa,</author>
		<author>Luz, Nelton Cavalcante,</author>
		<author>Maia, Janaina Sant'Ana,</author>
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		<group></group>
		<group></group>
		<group></group>
		<group>YYY-GB-INPE-MCTI-GOV-BR</group>
		<affiliation></affiliation>
		<affiliation></affiliation>
		<affiliation></affiliation>
		<affiliation></affiliation>
		<affiliation></affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>douglas.moraes@inpe.br</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>wanderf@dsr.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)</conferencename>
		<conferencelocation>João Pessoa</conferencelocation>
		<date>25-29 abr. 2015</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>5554-5561</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The Amazon region, by its geographical location, with influences of the Intertropical Convergence Zone, offers to optical sensors, the obtainment of images with high cloud coverage in the greater part of the year, which makes difficult and/or prevents the orbital images interpretation and can become an obstacle for the remote sensing and geoprocessing in the forests monitoring. Keeping this in view, it was implemented a cloud automatic detection tool, the Cloud Detection, which is available in the application TerraAmazon, developed by INPE and FUNCATE to give support to the projects, developed by the National Institute for Space Research (INPE) for the monitoring of forests. The present work applied different values to the parameters referring to the plugin Cloud Detection in the semiautomatic detection of clouds and shadows for AWiFS images, to verify which parameters collaborate for the efficiency of the detection and vectorization of the two targets in question. The results showed that the values of the morphological filters opening was the one who collaborates more for the differences in the vectorization; and there will always have confusion related to some water bodies that, because of theirs similar reflectance, they are detected as shadows, which can be edited manually and deleted of the mapping.</abstract>
		<area>SRE</area>
		<type>Processamento de imagens</type>
		<language>pt</language>
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