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		<citationkey>DoblasPrietoFreSiqCarShi:2021:AsNoMe</citationkey>
		<title>Assessment of nonlocal means stochastic distances speckle reduction for SAR time series</title>
		<year>2021</year>
		<secondarytype>PRE CI</secondarytype>
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		<author>Doblas Prieto, Juan,</author>
		<author>Frery, Alejandro C.,</author>
		<author>Siqueira, Sant'Anna Sidnei Joćo,</author>
		<author>Carneiro, Arian Ferreira,</author>
		<author>Shimabukuro, Yosio Edemir,</author>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Victoria University of Wellington</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>juandb@gmail.com</electronicmailaddress>
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		<electronicmailaddress>eng.ariancarneiro@gmail.com</electronicmailaddress>
		<electronicmailaddress>edemirshima@gmail.com</electronicmailaddress>
		<conferencename>International Geoscience and Remote Sensing Symposium (IGARSS)</conferencename>
		<conferencelocation>Online</conferencelocation>
		<date>12-16 July</date>
		<publisher>IEEE</publisher>
		<publisheraddress>Breussels</publisheraddress>
		<booktitle>Proceedings</booktitle>
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		<keywords>Speckle filters, SAR timeseries, Quality, Assessment.</keywords>
		<abstract>Implementation of complex SAR speckle filtering algorithms is usually limited to experimental settings, that make use of heavy-duty computers or processing clusters. Operational applications of SAR imagery, such as those used to map flashflooded areas, or to flag on-going deforestation, usually are not able to take advantage of these advanced filtering techniques. Here we introduce SDNLM3D, a fast and effective 3D filtering algorithm based on the non-local paradigm, suitable to be applied on cloud environments, such as the Google Earth Engine (GEE). A systematic, real-world based benchmark of more than 700 variations of the SDNLM3D revealed that the optimized version of the SDNLM3D filter outperforms the usual filters used operationally.</abstract>
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		<language>en</language>
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