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		<isbn>978-85-17-00088-1</isbn>
		<label>60074</label>
		<citationkey>TedescoAntuPeix:2017:ÍnCoBa</citationkey>
		<title>Índice de contraste baseado em imagem de intensidade (ICBI) para realce de solos</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>957 KiB</size>
		<author>Tedesco, Andrea,</author>
		<author>Antunes, Alzir Felippe Buffara,</author>
		<author>Peixoto, Elizabete Bugalski de Andrade,</author>
		<electronicmailaddress>tedescodeda@hotmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>7158-7162</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Spectral data related to the infrared band are not always available for orthophotos. In this way, it is not possible to generate indexes as the NDVI (Normalized Difference Vegetation Index). However, the incorporation of derived images, such as NDVI, supports the remote sensing image classification procedures. Data acquired by ALS (Airborne LASER Scanner), in addition to the altimetric information, provides an intensity image, acquired in the infrared band. The LASER beam has an extremely small bandwidth (e.g., 2 to 5 nm), usually centered at a near infrared wavelength. In comparison, multispectral images have bands with widths of 50 to 100 nm. Because of this, the intensity image does not reflect the objects in the same way as a multispectral image in the same band. In this context, this study investigated the possibility of using the ALS intensity image to generate a contrast index. For that, spectral data from orthophotos, combined with ALS intensity images, were used for different study areas in rural environment. Indexes with the three visible bands were tested together with the intensity image. The proposed index (ICBI - Intensity Based Contrast Index) that presented the best results was generated using red band (for the multispectral data) and the intensity image (ALS), evidencing exposed soil areas.</abstract>
		<area>SRE</area>
		<type>LIDAR: sensores e aplicações</type>
		<language>pt</language>
		<targetfile>60074.pdf</targetfile>
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