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IR scene generation for the testing of image analysis algorithms

机译:IR场景生成用于测试图像分析算法

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The aim of the work described in this paper, is to generate realistic infra-red (IR) images of sea clutter including sun glint, suitable for the testing of image analysis and detection algorithms. The accuracy of detection algorithms can only be determined by using a wide variety of test data representing different scene parameters such as sea state, sun angles and camera position. This type of data is extremely costly and difficult to obtain in practical trials. Synthetic generation of such scenes offers the capability to generate suitable data sets at a fraction of the cost, whilst offering precise control over the scene parameters. A model suitable for the generation of such data is developed and some results of synthetic IR scenes are presented. The model presented in this paper consists of three parts, namely: 1. The generation of the sea surface, including: animation of the wave motion. 2. The computer graphics required for the viewing of the scene. 3. The computation of the IR radiance for each element of the scene.
机译:本文中描述的工作的目的是生成现实的红外线(IR)图像的海杂波,包括太阳闪光,适用于测试图像分析和检测算法。检测算法的准确性只能通过使用表示不同场景参数的各种测试数据来确定,例如海州,太阳角和相机位置。这种类型的数据在实际试验中非常昂贵且难以获得。这种场景的综合生成提供了在成本的一小部分下产生合适的数据集的能力,同时提供精确控制场景参数。开发了一种适合于生成此类数据的模型,并提出了一些合成红外场景的结果。本文呈现的模型由三个部分组成,即:1。海面的产生,包括:波动动画。 2.查看场景所需的计算机图形。 3.计算场景每个元素的IR光线的计算。

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