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Image-Based Automatic Target Recognition

机译:基于图像的自动目标识别

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摘要

An image-based automatic target recognition (IATR) is basically a tactical decision aid that integrates all of the available information and produces a dynamic composite picture of a target for visualization and evaluation by an operator. In modem warfare, it has become an indispensable tool for precision strikes and surveillance missions of defense weapon systems. An IATR processes imagery data received from diverse imaging sensors for the purpose of target detection and recognition in real time. Using Wavelet Transforms, images are fused at different resolution levels to obtain a fused image. It has also been demonstrated that fusing the wavelet coefficient images directly can enhance the recognition contents of the image. This composite image contains all the information of interest for an IATR. In addition, an evaluation methodology based on visual perception and on statistical properties of the fused image is presented.

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