To detect high frequency (HF) first-order sea echo spectra contaminated with ships, ionosphere interference, and other, a new characteristic-knowledge-aided detection method is proposed. With 2-D image features in r...To detect high frequency (HF) first-order sea echo spectra contaminated with ships, ionosphere interference, and other, a new characteristic-knowledge-aided detection method is proposed. With 2-D image features in range-Doppler spectrum, the trend of first-order sea echoes is extracted as indicative information by a multi-scale filter. Detection rules for both single and splitting first-order sea echoes are given based on the characteristic knowledge combining the indicative information with the global characteristics such as amplitude, symmetry, continuity, etc. Compared with the classical algorithms, the proposed method can detect and locate the first-order sea echo in the HF band more accurately especially in the environment with targets/clutters smearing. Experiments with real data verify the validity of the algorithm.展开更多
This paper reviewed the theories about knowledge innovation and proposed the characteristics of knowledge propagating in knowledge innovation. Furthermore, this study adopted the bionics principle and discussed knowle...This paper reviewed the theories about knowledge innovation and proposed the characteristics of knowledge propagating in knowledge innovation. Furthermore, this study adopted the bionics principle and discussed knowledge-fermenting model of knowledge innovation, which is used for uncovering the core course of organizational learning and knowledge innovation and guiding the practice of organizational knowledge innovation. The contribution of this paper is to reveal the mechanism of knowledge innovation.展开更多
文摘To detect high frequency (HF) first-order sea echo spectra contaminated with ships, ionosphere interference, and other, a new characteristic-knowledge-aided detection method is proposed. With 2-D image features in range-Doppler spectrum, the trend of first-order sea echoes is extracted as indicative information by a multi-scale filter. Detection rules for both single and splitting first-order sea echoes are given based on the characteristic knowledge combining the indicative information with the global characteristics such as amplitude, symmetry, continuity, etc. Compared with the classical algorithms, the proposed method can detect and locate the first-order sea echo in the HF band more accurately especially in the environment with targets/clutters smearing. Experiments with real data verify the validity of the algorithm.
基金This research was sponsored by National Natural Science Foundation of China (NSFC).
文摘This paper reviewed the theories about knowledge innovation and proposed the characteristics of knowledge propagating in knowledge innovation. Furthermore, this study adopted the bionics principle and discussed knowledge-fermenting model of knowledge innovation, which is used for uncovering the core course of organizational learning and knowledge innovation and guiding the practice of organizational knowledge innovation. The contribution of this paper is to reveal the mechanism of knowledge innovation.