PMID- 29186014
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180222
LR  - 20181113
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 17
IP  - 12
DP  - 2017 Nov 29
TI  - Comprehensive Detection of Gas Plumes from Multibeam Water Column Images with 
      Minimisation of Noise Interferences.
LID - 10.3390/s17122755 [doi]
LID - 2755
AB  - Multibeam echosounder systems (MBES) can record backscatter strengths of gas 
      plumes in the water column (WC) images that may be an indicator of possible 
      occurrence of gas at certain depths. Manual or automatic detection is generally 
      adopted in finding gas plumes, but frequently results in low efficiency and high 
      false detection rates because of WC images that are polluted by noise. To improve 
      the efficiency and reliability of the detection, a comprehensive detection method 
      is proposed in this paper. In the proposed method, the characteristics of WC 
      background noise are first analyzed and given. Then, the mean standard deviation 
      threshold segmentations are respectively used for the denoising of time-angle and 
      depth-angle images, an intersection operation is performed for the two segmented 
      images to further weaken noise in the WC data, and the gas plumes in the WC data 
      are detected from the intersection image by the morphological constraint. The 
      proposed method was tested by conducting shallow-water and deepwater experiments. 
      In these experiments, the detections were conducted automatically and higher 
      correct detection rates than the traditional methods were achieved. The 
      performance of the proposed method is analyzed and discussed.
FAU - Zhao, Jianhu
AU  - Zhao J
AD  - Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, 
      China. jhzhao@whu.edu.cn.
AD  - School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. 
      jhzhao@whu.edu.cn.
FAU - Meng, Junxia
AU  - Meng J
AD  - Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, 
      China. junxia.meng@foxmail.com.
AD  - School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. 
      junxia.meng@foxmail.com.
FAU - Zhang, Hongmei
AU  - Zhang H
AD  - School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, 
      China. hmzhang@whu.edu.cn.
FAU - Wang, Shiqi
AU  - Wang S
AD  - Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, 
      China. 2011301610337@whu.edu.cn.
AD  - School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. 
      2011301610337@whu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20171129
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC5751054
OTO - NOTNLM
OT  - gas plumes
OT  - intersection operation
OT  - morphological constraint
OT  - threshold detection
OT  - water column image
COIS- The authors declare no conflict of interest. The founding sponsors had no role in 
      the design of the study; in the collection, analyses, or interpretation of data; 
      in writing the manuscript; and in the decision to publish the results.
EDAT- 2017/12/01 06:00
MHDA- 2017/12/01 06:01
PMCR- 2017/12/01
CRDT- 2017/11/30 06:00
PHST- 2017/10/11 00:00 [received]
PHST- 2017/11/27 00:00 [revised]
PHST- 2017/11/27 00:00 [accepted]
PHST- 2017/11/30 06:00 [entrez]
PHST- 2017/12/01 06:00 [pubmed]
PHST- 2017/12/01 06:01 [medline]
PHST- 2017/12/01 00:00 [pmc-release]
AID - s17122755 [pii]
AID - sensors-17-02755 [pii]
AID - 10.3390/s17122755 [doi]
PST - epublish
SO  - Sensors (Basel). 2017 Nov 29;17(12):2755. doi: 10.3390/s17122755.