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		<doi>10.1109/SIBGRA.1999.805745</doi>
		<citationkey>ZaniboniMasc:1999:ImDaFu</citationkey>
		<title>Image data fusion using projection over the set of solutions of an underdetermined least squares problem</title>
		<year>1999</year>
		<numberoffiles>3</numberoffiles>
		<size>61 KiB</size>
		<author>Zaniboni, Gustavo T.,</author>
		<author>Mascarenhas, Nelson Delfino d'Ávila,</author>
		<editor>Stolfi, Jorge,</editor>
		<editor>Tozzi, Clésio Luis,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI)</conferencename>
		<conferencelocation>Campinas, SP, Brazil</conferencelocation>
		<date>17-20 Oct. 1999</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>355-356</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society and UNICAMP - University of Campinas</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>image data fusion.</keywords>
		<abstract>This extended abstract presents a new image data fusion method that aims to combine images with different spatial and spectral resolution. It is based on a projection onto the subspace of the set of solutions of an underdetermined least squares problem. The data fusion problem may also involve an interpolation process, when images with different spatial resolutions are used. In our case, this interpolation was performed by using a Bayesian approach, with or without spatial adaptation. As an example, the method is applied to SPOT images over São José dos Campos, SP, Brazil.</abstract>
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		<notes>The conference was held in Campinas, SP, Brazil, from October 17 to 20.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/dpi.inpe.br/vagner/1999/11.29.10.49</url>
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