Abstract
Shape serves as an important additional feature for space target classification, which is complementary to those made available. Since different shapes lead to different projection functions, the projection property can be regarded as one kind of shape feature. In this work, the problem of estimating the projection function from the infrared signature of the object is addressed. We show that the projection function of any rotationally symmetric object can be approximately represented as a linear combination of some base functions. Based on this fact, the signal model of the emissivity-area product sequence is constructed, which is a particular mathematical function of the linear coefficients and micro-motion parameters. Then, the least square estimator is proposed to estimate the projection function and micro-motion parameters jointly. Experiments validate the effectiveness of the proposed method.
Highlights
Exo-atmosphere object discrimination is a key technology for precise guidance systems and satellite remote sensing systems
The research on IR dim target detection and tracking provides the positions of the point target in the IR image time series [12,13]
We show that the projection function of any object with rotationally symmetric shape can be represented as the linear combination of the projection functions of truncated cones with varying half cone angles
Summary
Exo-atmosphere object discrimination is a key technology for precise guidance systems and satellite remote sensing systems. The time-frequency representation based methods have been used to extract the micro-motion parameter for maneuvering space objects among the radar community [6,7,8]. We show that the projection function of any object with rotationally symmetric shape can be represented as the linear combination of the projection functions of truncated cones with varying half cone angles. Based on this projection function representation, the signal model of the emissivity-area product time sequence is constructed that is a particular mathematical function of the linear projection coefficients and micro-motion parameters.
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