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		<isbn>9788517000577</isbn>
		<citationkey>SallesMuraFons:2011:ReAuIm</citationkey>
		<title>Registro automático de imagens SAR interferometricas</title>
		<format>DVD</format>
		<year>2011</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Salles, Roberto Neves,</author>
		<author>Mura, José Cláudio,</author>
		<author>Fonseca, Leila Maria Garcia,</author>
		<group></group>
		<group>DPI-OBT-INPE-MCT-BR</group>
		<group>DPI-OBT-INPE-MCT-BR</group>
		<affiliation>Instituto de Estudos Avançados (IEAv)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>salles@ieav.cta.br</electronicmailaddress>
		<electronicmailaddress>mura@dpi.inpe.br</electronicmailaddress>
		<electronicmailaddress>leila@dpi.inpe.br</electronicmailaddress>
		<e-mailaddress>secretaria.cpa@dir.inpe.br</e-mailaddress>
		<conferencename>Simpósio de Sensoriamento Remoto, 15.</conferencename>
		<conferencelocation>Curitiba</conferencelocation>
		<date>30 abr. - 05 maio</date>
		<pages>8288-8294</pages>
		<booktitle>Anais</booktitle>
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		<keywords>remote sensing, interferometry, sensoriamento remoto, interferometria, registro subpixel, FFT.</keywords>
		<abstract>This paper explores an automatic registration procedure for use on single-look complex InSAR image pairs. The procedure is divided on two distinct parts. First a coarse registration is done using the phase correlation technique. The coarse registration is a global registration method that calculates the vertical and horizontal shifts on a pixel scale. The calculated translation is applied on the second image without need of interpolation. The new pair is then processed with the fine registration. At this point a grid of small window pairs is equally distributed through the images. Each pair is zero-padded to avoid circular convolution issues and is transformed using Fourier transform. Subpixel resolution is achieved zero-padding the frequency by a given factor before applying the same phase correlation technique, now as a local registration method. Control points are defined as the center of each pair of windows processed and are saved on a list with calculated subpixel shifts. At the end a polynomial transformation is calculated based on least squares using the list of control points and subpixel shifts. Finally the second image is interpolated. This procedure was implemented on IDL/ENVI and tested on two data sets, X-Band R99 and L-Band SIR-C. Results show that it is possible to automatically produce better interferograms as the number of residues is reduced.</abstract>
		<area>SRE</area>
		<language>pt</language>
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