<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<identifier>8JMKD3MGPBW34M/38ABSDP</identifier>
		<repository>sid.inpe.br/sibgrapi/2010/09.22.22.47</repository>
		<lastupdate>2010:09.22.22.47.13 sid.inpe.br/banon/2001/03.30.15.38 ampolido@din.uem.br</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi/2010/09.22.22.47.14</metadatarepository>
		<metadatalastupdate>2010:10.01.04.19.40 sid.inpe.br/banon/2001/03.30.15.38 ampolido@din.uem.br {D 2010}</metadatalastupdate>
		<citationkey>PolidorioImaTomFloFra:2010:EnTeSu</citationkey>
		<title>Enhancement of Terrestrial Surface Features on High Spatial Resolution Multispectral Aerial Images</title>
		<format>Printed, On-line.</format>
		<year>2010</year>
		<date>Aug. 30 - Sep. 3, 2010</date>
		<numberoffiles>1</numberoffiles>
		<size>2974 Kbytes</size>
		<author>Polidorio, Airton Marco,</author>
		<author>Imai, Nilton Nobuhiro,</author>
		<author>Tommaselli, Antonio M. G.,</author>
		<author>Flores, Franklin César,</author>
		<author>Franco, Clélia,</author>
		<affiliation>State University of Maringá</affiliation>
		<affiliation>FCT - UNESP</affiliation>
		<affiliation>FCT - UNESP</affiliation>
		<affiliation>State University of Maringá</affiliation>
		<affiliation>State University of Maringá</affiliation>
		<editor>Bellon, Olga,</editor>
		<editor>Esperança, Claudio,</editor>
		<e-mailaddress>ampolido@din.uem.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 23 (SIBGRAPI)</conferencename>
		<conferencelocation>Gramado</conferencelocation>
		<booktitle>Proceedings</booktitle>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<tertiarytype>Full Paper</tertiarytype>
		<keywords>Indexes, multispectral images, image enhancement, Earth surface.</keywords>
		<abstract>This work introduces new transformation indexes, color and spectral-based ones, applied for features enhancement registered in aerial multispectral images acquired with high spatial resolution by the use of the newest technology in imagery airborne sensors as the digital photogrammetric cameras IGN and HRSCAX. The new transformation indexes proposed in this work are: the normalized Shadow Index (nSI) and the spectral Shadow Index (sSI) for shadow enhancement; the Weighted Water Index (WWI) and the Weighted Water-Soil Index (WWSI) for water bodies enhancement and, the Road Water intensity Shadow Index (RWSI) for paved-road, water bodies and intensity shadowed areas enhancement.</abstract>
		<language>en</language>
		<targetfile>polidorio_et_all_sibgrapi_2010.pdf</targetfile>
		<usergroup>ampolido@din.uem.br</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>sid.inpe.br/banon/2001/03.30.15.38.24</mirrorrepository>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2010/09.22.22.47</url>
	</metadata>
</metadatalist>