徐夢溪，施建強

(南京工程學院計算機工程學院，江蘇 南京，211167)

　　摘 要：以天地網一體的水利立體監測體系建設，加強智能感知技術應用為背景，借鑒蠅類昆蟲復眼的信息采集與處理機制，提出一種仿生復眼型多源監測數據融合與專題信息提取的系統設計模式。通過構建虛擬的“小眼”群匯聚衛星遙感和地面站網多傳感器數據/信息，以及模擬大場景(LF)和小場景(SF)生物神經網絡的適應性信息處理策略，對匯聚的數據/信息進行全局性優化和整合，實現對整個監測區域有效信息的提取和捕捉，進而提升信息服務能力，為水利業務提供支撐。

　　關鍵詞：監測數據融合;仿生復眼;多源數據;專題信息;提取;生物神經網絡;水利立體監測體系

　　Bionic compound eye based multi-source monitoring data fusion and thematic information extraction

　　XU Mengxi, SHI Jianqiang

　　(School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

　　Abstract: Based on the construction of three dimensional water resource information monitoring system of space-earth network integration and the application of improved intelligent perception technology, combining the mechanism of visual information acquisition and processing in compound eye system of flies, a design mode of bionic compound eye based on multi-source monitoring data fusion and thematic information extraction system is proposed. By constructing a virtual group of “small eyes” to access and converge multi-sensor data/information, the optimized integration process of multi-source multi-scale and heterogeneous asynchronous multi-sensor data/information by the large field (LF) and small field (SF) biological neural network is simulated. It realizes the effective capture of the whole monitoring area and information extraction of thematic application tasks, which promotes information service ability for supporting water resources business.

　　Key words: monitoring data fusion; bionic compound eye; multi-source data; thematic information; extraction; biological neural network; three dimensional monitoring system of water resource