Pregled bibliografske jedinice broj: 1119099
Improving Automatic Target Recognition with Forward Looking Sonar Mosaics
Improving Automatic Target Recognition with Forward Looking Sonar Mosaics // IFAC Proceedings Volumes, Volume 47, Issue 3
Cape Town, Južnoafrička Republika: Elsevier, 2014. str. 3382-3387 doi:10.3182/20140824-6-za-1003.01485 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1119099 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Improving Automatic Target Recognition with Forward
Looking Sonar Mosaics
Autori
Ferreira, F. ; Djapic, V. ; Micheli, M. ; Caccia, M.
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IFAC Proceedings Volumes, Volume 47, Issue 3
/ - : Elsevier, 2014, 3382-3387
Skup
19th IFAC World Congress
Mjesto i datum
Cape Town, Južnoafrička Republika, 2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
mosaicking ; forward looking sonar ; automatic target detection ; acoustic image processing
Sažetak
Automatic Target Recognition (ATR) is a key element needed to make Mine Countermeasure missions using robots entirely autonomous. While there has been much progress in applying ATR algorithms on high-resolution Synthetic Aperture Sonar (SAS) and sidescan sonar data, performing ATR with a low cost Forward Looking Sonar (FLS) is much more challenging. An algorithm for the detection of underwater man-made objects in FLS previously developed can work in real-time although it suffers considerably from typical noise in sonar images and false alarms. The work presented here shows that ATR algorithms can be exercised on sonar mosaics built also in real-time instead of raw data coming from the FLS. The use of mosaics can help the detection of the targets by reducing some noise (including harmonics from other acoustic devices mounted on the robot) and giving a better contrast to the images to be processed. Moreover, mosaic images can be useful for post-processing and data analysis. The mosaicking algorithm also runs in real-time to maintain the performance of the system and to be useful in real missions. It was tested both on data previously collected and in real experiments with different set-ups and with different sonars. The wide range of results obtained with different surface vehicles and in different situations demonstrate the usefulness of the method.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Sigurnosne i obrambene znanosti
