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Research of the Infrared Ship Target Recognition Technology based on the Complex Background

机译:基于复杂背景的红外舰船目标识别技术研究

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Ship target detection is increasingly important to the current war today. Space-based Detection is an important way for getting the remote-sensing image included the ship target. Remote sensing image data may contain terrestrial and cloud disturbances. In addition to the sea background, there may be some small islands, and the sea background itself may contain certain noises such as blur, bright spots, and so on. The sea-land segmentation and cloud detection are performed firstly and the noise is filtered out. Then the target enhancement of the ocean image is normalized to eliminate the effects of different phases. Then the detection target is identified according to the threshold segmentation, and the image after the recognition is output according to a certain rule and the background of the ship. The results show that the method proposed can detect the ship targets clearly.
机译:舰载目标的检测对当今的战争越来越重要。天基探测是使遥感图像包括飞船目标的一种重要方法。遥感图像数据可能包含地面和云干扰。除海洋背景外,可能还有一些小岛,并且海洋背景本身可能包含某些噪音,例如模糊,亮点等。首先进行海陆分割和云探测,并滤除噪声。然后对海洋图像的目标增强进行归一化,以消除不同阶段的影响。然后根据阈值分割识别出检测目标,并根据一定的规则和船舶的背景输出识别后的图像。结果表明,所提出的方法能够清晰地检测出舰船目标。

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