09/1992- 07/1996: Inner-Mongolia Normal University

09/1996- 07/1999: Inner-Mongolia University

09/1999- 07/2002: Ocean University of China

07/2002- First Institute of Oceanography

Ocean Internal waves study with remote sensing data

SAR oceanic application

Ship detection with Space borne and Airborne Radar

1. NSFC Project(61471136): A new approach to SAR ocean internal wave detection,01/2015-12/2018

2. NSFC Project(60702077): Research on internal-wave optical remote sensing detection model, 01/2008-12/2010

3. Public Science and Technology Research Funds Project of Ocean. 201505002,01/2015-12/2018

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2. Junmin Meng. Field truthing experiment of ship detection by using SAR imagery[J].

Proceedings of SPIE - The International Society for Optical Engineering, 2007, 6790.

3. Meng J, Zhang J. Synergy Envisat ASAR, ERS-2 SAR, RADARSATSAR, Landsat TM and MODIS Images to Research Propagation Features of Internal Solitary Waves in Northern of South China Sea[J]. Agu Fall Meeting Abstracts, 2006.

4. Wan Y, Zhang J, Meng J, et al. Study on wave energy resource assessing method based on altimeter data—A case study in Northwest Pacific[J]. Acta Oceanol. Sin., 2016,35(3):117-129.

5. Wan Y, Zhang J, Meng J, et al. A wave energy resource assessment in the China's seas based on multi-satellite merged radar altimeter data[J]. Acta Oceanol. Sin., 2015,34(3):115-124.

6. Wan Y, Zhang J, Meng J, et al. Exploitable wave energy assessment based on ERA-Interim reanalysis data—A case study in the East China Sea and the South China Sea[J]. Acta Oceanol. Sin., 2015, 34(9):143-155.

7. Yonggang J I, Zhang J, Meng J, et al. Point association analysis of vessel target detection with SAR, HFSWR and AIS[J]. Acta Oceanol. Sin., 2014, 33(9):73-81.

8. Lang W, Meng J. Sea ice drift tracking in the Bohai Sea using geostationary oceancolor imagery[J]. Journal of Applied Remote Sensing, 2014, 8(1):083650.

9. Lang H, Meng J. Hierarchical ship detection and recognition with high-resolution polarimetric synthetic aperture radar imagery[J]. Journal of Applied Remote Sensing,2014, 8(1):083623.