Forward looking sonar mosaicing for Mine Countermeasures

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• 作者：Fausto Ferreira ; ^a ; ^{fausto.ferreira@cmre.nato.int" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Vladimir Djapic^b ; ^{vladimir.djapic@navy.mil" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Michele Micheli^a ; ^{michele.micheli@cmre.nato.int" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Massimo Caccia^c ; ^{massimo.caccia@ge.issia.cnr.it" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Mosaicing ; Forward looking sonar ; Automatic Target Recognition ; Mine Countermeasures
• 刊名：Annual Reviews in Control
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：40
• 期：Complete
• 页码：212-226
• 全文大小：5176 K

文摘

Forward looking sonars (FLS) are nowadays popular for many different applications. In particular, they can be used for Automatic Target Recognition (ATR) in the context of Mine Countermeasures. Currently, ATR techniques are applied to raw data which generates many false positives and the need for human supervision. Mosaicing FLS data increases target contrast and thus reduces false positive rate. Moreover, it implies a considerable data size reduction which is important if one thinks of exchange of data in real time through an acoustic channel with very limited bandwidth. Results of applying a real-time mosaicing algorithm to FLS data generated during Mine Countermeasures missions are shown and discussed thoroughly in this article.