An algorithm for underwater target feature recognition is proposed using its highlights distribution.For an underwater target with large size and slender body,it is assumed that the heading course and the length of th...An algorithm for underwater target feature recognition is proposed using its highlights distribution.For an underwater target with large size and slender body,it is assumed that the heading course and the length of the target are both determined by the distribution of its highlights.By supposing that these highlights obey Gaussian mixture distribution,the feature recognition problem can be transformed into a clustering problem.Therefore,using the collinearly constrained expectation maximization algorithm,the clustering centers of these highlights can be calculated and then the estimation of the heading and length of the target can be obtained with high accuracy.The effectiveness of the proposed method is demonstrated using simulations.展开更多
On July 2, the Ministry of Commerce and the China International Fair for Investment & Trade (CIFIT) Organizing Committee held a joint press confer- ence in Beijing to discuss the upcoming CIFIT, which is slated to...On July 2, the Ministry of Commerce and the China International Fair for Investment & Trade (CIFIT) Organizing Committee held a joint press confer- ence in Beijing to discuss the upcoming CIFIT, which is slated to open on September 8, 2009. The press conference was attended by Chen Jin, Executive Vice Chairman of the展开更多
基金supported by the National Natural Science Foundation of China(61471352,61531018,61372181)the Key Lab Foundation of CAS(CXJJ-16S061)
文摘An algorithm for underwater target feature recognition is proposed using its highlights distribution.For an underwater target with large size and slender body,it is assumed that the heading course and the length of the target are both determined by the distribution of its highlights.By supposing that these highlights obey Gaussian mixture distribution,the feature recognition problem can be transformed into a clustering problem.Therefore,using the collinearly constrained expectation maximization algorithm,the clustering centers of these highlights can be calculated and then the estimation of the heading and length of the target can be obtained with high accuracy.The effectiveness of the proposed method is demonstrated using simulations.
文摘On July 2, the Ministry of Commerce and the China International Fair for Investment & Trade (CIFIT) Organizing Committee held a joint press confer- ence in Beijing to discuss the upcoming CIFIT, which is slated to open on September 8, 2009. The press conference was attended by Chen Jin, Executive Vice Chairman of the
