{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T08:12:14Z","timestamp":1698135134075},"reference-count":15,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2008,9,12]],"date-time":"2008-09-12T00:00:00Z","timestamp":1221177600000},"content-version":"vor","delay-in-days":6160,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Trans Emerging Tel Tech"],"published-print":{"date-parts":[[1991,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Environmental monitoring by means of Remote Sensing methodologies is one of the most interesting and important application field of image processing techniques. In this field, a very important role is played by Synthetic Aperture Radar (SAR) images, that posses an high spatial resolution and that can be produced in all weather conditions. This paper presents a complete digital signal processing chain for the automatic detection of ships in SAR images and for the computation of an estimate of ship velocities. A particular attention has been devoted to two problems: the prefiltering problem which aims to reduce the speckle noise in the image, and the robustness problem that is related to the optimization of the true\u2010target detection\/rejection capability. The whole chain has been first simulated and tested on a sequential machine, namely a Micro VAX II, and then it has been ported on a parallel architecture based on a hyper\u2010cube of IMS T800 transputers.<\/jats:p>","DOI":"10.1002\/ett.4460020612","type":"journal-article","created":{"date-parts":[[2008,9,12]],"date-time":"2008-09-12T12:52:26Z","timestamp":1221223946000},"page":"689-693","source":"Crossref","is-referenced-by-count":1,"title":["A fuzzy complete SAR processing chain for ship detection and velocity estimation"],"prefix":"10.1002","volume":"2","author":[{"given":"Luciano","family":"Alparone","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabrizio","family":"Argenti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giuliano","family":"Benelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vito","family":"Cappellini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandro","family":"Mecocci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2008,9,12]]},"reference":[{"key":"e_1_2_1_2_2","first-page":"26","volume-title":"Progress in Optics","author":"Dainty J. 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The European SAR\u2010580 Experiment Sept.1983."},{"key":"e_1_2_1_9_2","volume-title":"Enhancement of high resolution SAR imagery by adaptive filtering","author":"Freitag B. J."},{"key":"e_1_2_1_10_2","doi-asserted-by":"crossref","unstructured":"D. T.Kuan A. A.Sawchuk T. C.Strand P.Chavei:Adaptive restoration of images with speckle. \u201cIEEE Trans on Acoust. Sp. and Sig. Proc.\u201d Mar.1987.","DOI":"10.1109\/TASSP.1987.1165131"},{"key":"e_1_2_1_11_2","doi-asserted-by":"crossref","unstructured":"D. T.Kuan A. A.Sawchuk T. C.Strand P.Chavei:Adaptive noise smoothing filter for image with signal dependent noise. \u201cIEEE Trans on Patt. Anal and Mach. 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