Research on Spectrum Plane Processing Technology of Target Auto-Recognition in Cluttered Scenes

Hua, 苗华 Miao; Xin, 邹昕 Zou; Qi, 郎琪 Lang; Fanghan, 陈方涵 Chen; Wensheng, 王文生 Wang

doi:10.3788/aos20092902.0366

Cited by 1 publication

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“…All functions meeting Wavelet conditions can be considered as the wavelet functions. The Mexican-hat wavelet [4][5][6] function is chosen for the research characteristics of this project. Mexican Hat wavelet function is widely used in edge detection of zero-crossing and multi-resolution.…”

Section: Mexican-hat Wavelet Functionmentioning

confidence: 99%

Research on the Technology of Partial Masked Target Recognition

Hua

Chen

Wang

2013

KEM

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The result of target recognition is always influenced by the clutter background, low contrast and deficiency luminance of image. Besides the factors mentioned above, detection and recognition of partial masked target has the character of fragmented target, which leads to another problem. All the harmful factors cause that target recognition can not be realized by hybrid optoelectronic joint transform correlator (HOJTC) due to the weak correlation peaks, even no peaks appear. In this paper, input image of HOJTC is processed by the method of adaptive threshold, and power spectrum is processed by wavelet transform (WT) as well. The combination effectively controls the disturbance of noise and enhances the energy of diffractive light of target. Experiment of HOJTC shows that the method can enhance the contrast of correlation peaks of partial masked target and improve the detection and recognition capacity of HOJTC. As an example, the experiment results of fragmented airplane target before and after processing are shown in the paper, which demonstrate the effectiveness of the method.

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Section: Mexican-hat Wavelet Functionmentioning

confidence: 99%