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01879aam a2200325Ii 4500 001 46BA777C4DCE11E89F5D1D5C97128E48 003 SILO 005 20180502010046 008 180305t20182018fluad b 001 0 eng d 020 $a 1138032662 020 $a 9781138032668 035 $a (OCoLC)1026697416 040 $a YDX $b eng $e rda $c YDX $d UIU $d OCLCF $d IWA $d SILO 050 4 $a TA1637 Z49x 2018 100 1 $a Zhang, Qin, $e author. 245 10 $a Sea ice image processing with MATLAB® / $c Qin Zhang and Roger Skjetne. 264 1 $a Boca Raton, Florida : $b CRC Press, $c [2018] 300 $a xxix, 242 pages : $b illustrations, tables, graphs, charts ; $c 24 cm. 490 1 $a Signal and image processing of Earth observations series 504 $a Includes bibliographical references (pages 229-239) and index. 520 $a The ice concentration data on a global scale are available on a daily basis due to microwave satellite sensors. Image processing for sea ice is vital to estimate the sea ice properties and understand the behavior of sea ice especially on a relatively small scale. Currently, sea ice concentration is estimated from lower-resolution passive microwave sensors. This book aims to present the most recent image processing techniques including the so-called gradient vector flow snake algorithm to identify individual ice floes from the ice images. It makes an extensive use of this powerful technique to extract or estimate the sea-ice parameters and to develop tools useful to scientists and engineers. 650 0 $a Image processing. 650 0 $a Sea ice. 650 0 $a Oceanography. 700 1 $a Skjetne, Roger, $e author. 830 0 $a Signal and image processing of Earth observations series. 941 $a 1 952 $l USUX851 $d 20190402014056.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=46BA777C4DCE11E89F5D1D5C97128E48 994 $a C0 $b IWAInitiate Another SILO Locator Search