利用多分辨分形特征進行目標識別
Target recognition based on multiresolution fractal feature
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摘要: 該文分析了湖底回波信號經小波多分辨分解后,發(fā)現(xiàn)不同分解尺度上的小波系數(shù)的能量分別與分解尺度在一定范圍內滿足冪指數(shù)關系,與分形維的定義相似。據(jù)此求得兩類特征參量,并對五類回波進行了分類,取得了較為理想的識別結果。
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關鍵詞:
- 多分辨分析; 分形; 識別
Abstract: In this paper, echoes are decomposed based on wavelet multiresolution analysis. It is shown that the energy of wavelet coefficients is exponential to the decomposed scale in some degree, which is similar to the definition of fractal dimension. Hence, two sorts of features are extracted and applied to recognizing five classes of echoes. The recognition results are satisfactory. -
陳捷,基于分形與混沌理論的水下目標特征提取研究[D],[博士論文],西安,西北工業(yè)大學,2000.[2]趙松年,熊小蕓,子波變換與子波分析[M],北京,電子工業(yè)出版社,1997,36-80[3]王東生,曹磊,混沌、分形及其應用[M],合肥,中國科學技術大學出版社,1995,138-155.[4]吳高洪,章毓晉,林行剛,利用特征加權進行基于小波變換的紋理分類[J],模式識別與人工智能,1999,12(3),262-267. -
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