BIT Researchers Presented with 2 Awards at IEEE IGARSS

release date :2019-08-13 03:09:00? | ? [ close window ]ViewCount:次

    Translator: Bai Lige, News Agency of BIT

    Editor: News Agency of BIT

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  At the 39th IEEE International Geoscience and Remote Sensing Society (IEEE IGARSS 2019) held in Yokohama Japan from July 28th to August 2nd, the team of Academician Mao Erke and Professor Long Teng from Beijing Institute of Technology (BIT) won 2 grand awards.

  The 2019 Transactions Prize Paper Award (TPPA) was presented to GNSS-Based SAR Interferometry for 3-D Deformation Retrieval: Algorithms and Feasibility Study, paper written by assistant professor Liu Feifeng, the first author, assistant professor Liu Quanhua, the corresponding author, and their students, Fan Xuezhen and Zhangtian. This paper was published in IEEE Transactions on Geoscience and Remote Sensing in October 2018. The TPPA is an annual award with a selection of all papers published in the past year, evaluating on the originality of research and the clarity of paper. It was the first time that institutes and researchers from China won the TPPA since 1991.

365bet月回馈28元  The awarded paper proposed a 3-D surface deformation retrieval algorithm for synthetic aperture radar interferometry based on a Global Navigation Satellite System where simultaneous multiple GNSS transmitters and a repeat-pass concept were adopted. Using a designed transponder onboard displacement device as the bistatic PS, the feasibility of 3-D deformation retrieval using GNSS-based InSAR was confirmed by repeat-pass experiments, where four simultaneously available Beidou-2 Inclined Geosynchronous Orbit satellites were used as transmitters, and 16 repeat-pass data sets were collected. Using the proposed algorithm, the final experimental results suggested that the GNSS-based InSAR could obtain deformation estimations with better accuracy than at 5 mm in all three directions.

  The Mikio Takagi Student Prize was presented to Multimodal-Temporal Fusion: Blending Multimodal Remote Sensing Images to Generate Image Series with High Temporal Resolution written by professor Zhao Baojun, professor Deng Chenwei, doctoral student Liu Xun and professor Jocelyn Chanussot, standing out among papers from Stanford University, California Institute of Technology and National Aeronautics and Space Administration. The Mikio Takagi Student Prize is one of the top prize in the field of geoscience and remote sensing. 10 excellent papers selected by the IEEE Organizing Committee from over 300 contest papers reached the final. After the oral presentation and the vote from members of the IEEE Organizing Committee, the paper with the highest point would win the Mikio Takagi Student Prize. It was the first time students from Chinese institute won the prize since 2006.

  The paper proposed a fusion strategy aimed at remote sensing images generation. Considering the multi-temporal characteristic, the multiple-mode and multi-temporal fusion strategy by using remote sensing information from Earth observation could generate missing data for reconstructing results and provide guidance on reconstructing missing date in remote sensing images and improving time resolution measurement.?

  The IEEE IGARSS is the largest, the most influential academic meeting in the field of geoscience and remote sensing, held regularly in late July every year. The topic of this year is Global-Environment Observation and Disaster Mitigation. The participating researchers from over 50 countries presented more than 2500 papers and related works.