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		<isbn>85-17-00014-5</isbn>
		<citationkey>RennóSoaForSáCor:1996:AvMeTe</citationkey>
		<title>Avaliação de medidas texturais na discriminação de classes de uso utilizando imagens SAR</title>
		<format>[CD-ROM]</format>
		<year>1996</year>
		<secondarydate>19970611</secondarydate>
		<secondarytype>PRE CN</secondarytype>
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		<author>Rennó, Camilo Daleles,</author>
		<author>Soares, João Vianei,</author>
		<author>Formaggio, Antônio Roberto,</author>
		<author>Sá, Iedo Bezerra de,</author>
		<author>Cordeiro, Gilberto,</author>
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		<group>DSR-INPE-MCT-BR</group>
		<group>DSR-INPE-MCT-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>EMBRAPA. CPATSA.</affiliation>
		<affiliation>EMBRAPA. CPATSA.</affiliation>
		<electronicmailaddress>camilo@ltid.inpe.br</electronicmailaddress>
		<electronicmailaddress>vianei@ltid.inpe.br</electronicmailaddress>
		<electronicmailaddress>formag@ltid.inpe.br</electronicmailaddress>
		<editor>Krug, Thelma,</editor>
		<e-mailaddress>erich@sid.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 8 (SBSR).</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>14-19 abr. 1996</date>
		<publisher>INPE</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>863-870</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Workshop - Sessao Tecnica Radar</tertiarytype>
		<organization>Instituto Nacional de Pesquisas Espaciais</organization>
		<transferableflag>1</transferableflag>
		<keywords>PROCESSAMENTO DIGITAL DE IMAGENS, RADAR DE ABERTURA SINTETICA, SAR, IMAGENS DE RADAR, USO DA TERRA, TEXTURA.</keywords>
		<abstract>The texture is an important characteristic used for image visual interpretation. For this reason, the performance of digital classifiers can be improved with texture measurements, specially for high resolution images. However, there is no consensus in the definition of what texture is. Several texture measures can be found in the literature. This work proposes a methodology for texture measures selection that maximize the discrimination between land use classes in SAR images. The used images were SIR-C/X-SAR, L and C bands, and HH, HV and VV polarizations. The results show that the classification based only on the tonal means achieved kappa values slightly higher than 0.50. The use of texture measures improved the classification, obtaining kappa values higher than 0.90, when 15 measures were used simultaneosly. Even when images with only one band and one polarization were used, the kappa values obtained were higher than 0.85, making use of more than 20 texture measures. The results confirmed that texture information in radar image may help the discrimination of agriculture crops.</abstract>
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		<type>Processamento de Imagens</type>
		<language>Pt</language>
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