一种基于分形模型的新特征及其在自动目标识别中的应用
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TN21

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国家自然科学基金


A NEW FEATURE BASED ON FRACTAL MODELS AND ITS APPLICATIONS IN AUTOMATIC TARGET RECOGNITION
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    摘要:

    基于分形模型的自相似性,提出一种识别自然背景中人造目标图像特征的新方法.解释了该特征的含义,给出了计算方法,并利用实验数据将其与分维数特征和分形模型拟合误差特征进行了对比,说明了该特征在识别自然背景中人造目标时的优越性;还以实际红外图像的处理结果显示该特征在实际中应用的效果.

    Abstract:

    A new kind of feature of an image was presented on the basis of the self similarity property of the fractal model, which could be applied to recognize man made objecs in the natural background. Firstly, the interpretation of the feature was discussed and the procedure of the computation of the feature was presented. Secondly, the feature was compared with the fractal dimension feature and the fractal model fitting error feature based on the experimental data to show its superiority in recognizing man made objects in the natural background. Finally, some experimental results for practical infrared images were presented to show the effect of the feature in the practical situations.

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赵亦工 朱红.一种基于分形模型的新特征及其在自动目标识别中的应用[J].红外与毫米波学报,1997,16(3):215~220]. Zhao Yigong Zhu Hong. A NEW FEATURE BASED ON FRACTAL MODELS AND ITS APPLICATIONS IN AUTOMATIC TARGET RECOGNITION[J]. J. Infrared Millim. Waves,1997,16(3):215~220.]

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