Reconstructing the 3-D Methane Plume Image Using Portable Shipborne Sonar

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Lin Guo;Octavian Postolache;Lin Ma;Yang Shi
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引用次数: 0

Abstract

The methane plume is a sign of subsea natural gas leakage, which generally overflows from the seabed as a bubble plume. The methane plume is a complex 3-D structure that depends on the bubble rising path, which cannot meet the exploration and research needs only through a 2-D image. Based on the developed portable methane plume sonar and backscatter characteristics of the methane bubble overflowing from the methane plume, this article focuses on the 3-D image reconstruction method for the methane plume on the seafloor according to the image projection principle and 2-D measuring image of discrete survey lines in the sea trial. First, the bisliding window correction (BSWC) method is designed to correct the distorted methane plume contour under the beam open angle of the sonar transducer. Second, the geometric-constrained convergence method (GCCM) based on the steepest descent algorithm is proposed to estimate the location of the methane plume and converge the contour under each depth profile. Finally, the 3-D plume image can be formed. The reconstructed 3-D image of the plume has been obtained through the sea trail and data processing. The overlap area between the detection contour and the inversion contour was compared using the inversion algorithm, and the average overlap probability was 79.21%, verifying the effectiveness of the proposed reconstruction method.
利用便携式船载声纳重建三维甲烷羽流图像
甲烷羽流是海底天然气泄漏的标志,通常以气泡羽流的形式从海底溢出。甲烷羽流是一个复杂的三维结构,依赖于气泡上升路径,仅通过二维图像无法满足勘探和研究的需要。本文基于已开发的便携式甲烷羽声纳和甲烷羽溢出的甲烷气泡的后向散射特性,根据图像投影原理和海试中离散测量线的二维测量图像,重点研究海底甲烷羽的三维图像重建方法。首先,设计了双置窗校正(BSWC)方法,对声纳换能器波束开角下的甲烷羽流畸变轮廓进行了校正;其次,提出了基于最陡下降算法的几何约束收敛方法(GCCM)来估计甲烷羽流的位置并收敛各深度剖面下的轮廓;最后形成三维羽流图像。通过海上航迹和数据处理,获得了烟羽的三维重建图像。利用反演算法对比检测轮廓与反演轮廓的重叠面积,平均重叠概率为79.21%,验证了所提重建方法的有效性。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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