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Resolution modification for target implantation in real background imagery

机译:用于真实背景图像中目标植入的分辨率修改

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Abstract: The diversity and complexity of background materials and clutter features in the infrared makes modeling backgrounds a more difficult effort than modeling target signatures. It may be appropriate to implant modeled target images into measured background images for simulation purposes because the target signatures are more reliably predicted and can be altered to match the measured background environment conditions. The extrapolation of measured target signatures to environmental conditions similar to those of a measured background image was described earlier. The extrapolated synthetic target image can be implanted into a real background image with radiometric consistency. Target implantation introduces the possibility of a number of non-physical artifacts, one of which is a difference in the resolution of the target and background parts of the image. Faceted target models contain highly resolved edges and internal features, while real background images contain blurring due to the measurement system. An approach is presented which blurs the internal detail of the target to match the known resolution properties of the background measuring instrumentation, and then adjusts the target- background boundary without introducing additional blurring to the background zone around the target. The resultant synthetic image is optically and radiometrically consistent with an image of a real target in the same background. Figures show details of target/background interfaces after resolution modification. Other artifacts illustrated include partial target obscuration by background objects and simulated motion of the target within the image.!2
机译:摘要:红外背景材料的多样性和复杂性以及红外中的杂波特征使对背景进行建模比对目标签名进行建模更加困难。出于仿真目的,将建模的目标图像植入到测量的背景图像中可能是合适的,因为目标特征可以更可靠地预测,并且可以更改以匹配测量的背景环境条件。较早描述了将测量的目标特征外推到与测量的背景图像相似的环境条件。可以将外推的合成目标图像植入具有放射线一致性的真实背景图像中。目标植入会引入许多非物理伪像的可能性,其中之一是图像的目标和背景部分的分辨率有所不同。多面目标模型包含高度解析的边缘和内部特征,而实际背景图像由于测量系统而包含模糊。提出了一种使目标的内部细节模糊以匹配背景测量仪器的已知分辨率属性的方法,然后调整目标-背景边界,而不会对目标周围的背景区域引入额外的模糊。所得的合成图像在光学和放射学上与同一背景下真实目标的图像一致。图中显示了分辨率修改后目标/背景界面的详细信息。所示的其他伪像包括背景物体对目标的部分遮盖以及图像中目标的模拟运动!2

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