• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Characterization, Propagation, and Simulation of Sources and Backgrounds II >Spatiotemporal models for the simulation of infrared backgrounds
【24h】

Spatiotemporal models for the simulation of infrared backgrounds

机译：用于模拟红外背景的时空模型

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Abstract: It is highly desirable for designers of automatic target recognizers (ATRs) to be able to test their algorithms on targets superimposed on a wide variety of background imagery. Background imagery in the infrared spectrum is expensive to gather from real sources, consequently, there is a need for accurate models for producing synthetic IR background imagery. We have developed a model for such imagery that will do the following: Given a real, infrared background image, generate another image, distinctly different from the one given, that has the same general visual characteristics as well as the first and second- order statistics of the original image. The proposed model consists of a finite impulse response (FIR) kernel convolved with an excitation function, and histogram modification applied to the final solution. A procedure for deriving the FIR kernel using a signal enhancement algorithm has been developed, and the histogram modification step is a simple memoryless nonlinear mapping that imposes the first order statistics of the original image onto the synthetic one, thus the overall model is a linear system cascaded with a memoryless nonlinearity. It has been found that the excitation function relates to the placement of features in the image, the FIR kernel controls the sharpness of the edges and the global spectrum of the image, and the histogram controls the basic coloration of the image. A drawback to this method of simulating IR backgrounds is that a database of actual background images must be collected in order to produce accurate FIR and histogram models. If this database must include images of all types of backgrounds obtained at all times of the day and all times of the year, the size of the database would be prohibitive. In this paper we propose improvements to the model described above that enable time-dependent modeling of the IR background. This approach can greatly reduce the number of actual IR backgrounds that are required to produce a sufficiently accurate mathematical model for synthesizing a similar IR background for different times of the day. Original and synthetic IR backgrounds will be presented. Previous research in simulating IR backgrounds was performed by Strenzwilk, et al., Botkin, et al., and Rapp. The most recent work of Strenzwilk, et al. was based on the use of one-dimensional ARMA models for synthesizing the images. Their results were able to retain the global statistical and spectral behavior of the original image, but the synthetic image was not visually very similar to the original. The research presented in this paper is the result of an attempt to improve upon their results, and represents a significant improvement in quality over previously obtained results.!11
机译：摘要：对于自动目标识别器（ATR）的设计人员来说，非常需要能够在叠加在各种背景图像上的目标上测试其算法。从真实来源收集红外光谱中的背景图像非常昂贵，因此，需要精确的模型来产生合成IR背景图像。我们已经为这种图像开发了一个模型，该模型将执行以下操作：给定真实的红外背景图像，生成另一幅图像，该图像与给定的图像明显不同，该图像具有相同的一般视觉特征以及一阶和二阶统计量原始图像。所提出的模型包括与激励函数卷积的有限冲激响应（FIR）内核，以及应用于最终解决方案的直方图修改。已经开发了使用信号增强算法导出FIR内核的过程，直方图修改步骤是简单的无记忆非线性映射，将原始图像的一阶统计量强加到合成图像上，因此整个模型是一个线性系统级联无记忆的非线性。已经发现，激发函数与图像中特征的放置有关，FIR内核控制图像边缘的锐度和全局光谱，而直方图则控制图像的基本着色。这种模拟IR背景的方法的缺点在于，必须收集实际背景图像的数据库才能生成准确的FIR和直方图模型。如果此数据库必须包含在一天中的所有时间和一年中的所有时间获得的所有背景类型的图像，那么数据库的大小将是令人望而却步的。在本文中，我们提出了对上述模型的改进，该模型使IR背景的时间依赖性建模成为可能。这种方法可以大大减少实际的红外背景的数量，这些实际的红外背景需要产生足够准确的数学模型以在一天中的不同时间合成相似的红外背景。将介绍原始和合成的红外背景。 Strenzwilk等人，Botkin等人和Rapp进行了模拟IR背景的先前研究。 Strenzwilk等人的最新作品。基于使用一维ARMA模型来合成图像。他们的结果能够保留原始图像的整体统计和光谱行为，但是合成图像在视觉上与原始图像不太相似。本文中提出的研究是尝试改善其结果的结果，并且表示质量比先前获得的结果有了显着提高。11

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号