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Augmenting full colour-fused multi-band night vision imagery with synthetic imagery in real-time

机译:实时将彩色融合的多波段夜视影像与合成影像进行增强

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We present the design and first field trial results of an all-day all-weather enhanced and synthetic-fused multi-band colour night vision surveillance and observation system. The system augments a fused and dynamic three-band natural-colour night vision image with synthetic 3D imagery in real-time. The night vision sensor suite consists of three cameras, sensitive in, respectively, the visual (400-700 nm), the near-infrared (NIR, 700-1000 nm) and the long-wave infrared (LWIR, 8-14 μm) bands of the electromagnetic spectrum. The optical axes of the three cameras are aligned. Image quality of the fused sensor signals is enhanced in real-time through dynamic noise reduction, super resolution and local adaptive contrast enhancement. The quality of the LWIR image is enhanced through scene-based non-uniformity correction. The visual and NIR signals are used to represent the fused multi-band night vision image in natural daytime colours, using the Colour-the-Night colour remapping technique. Colour remapping can also be deployed to enhance the visibility of thermal targets that are camouflaged in the visual and NIR range of the spectrum. The dynamic false-colour night-time images are augmented with corresponding synthetic 3D scene views, generated in real-time using a geometric 3D scene model in combination with position and orientation information supplied by the Global Positioning System and inertial sensors of the system. Initial field trials show that this system provides enhanced situational information in various low-visibility conditions.
机译:我们介绍了全天候全天候增强和合成融合多波段彩色夜视监视和观察系统的设计和首次现场试验结果。该系统通过合成的3D实时图像增强了融合的动态三波段自然色夜视图像。夜视传感器套件由三个摄像头组成,分别对视觉(400-700 nm),近红外(NIR,700-1000 nm)和长波红外(LWIR,8-14μm)敏感电磁波谱带。三个摄像机的光轴对齐。通过动态降噪,超分辨率和局部自适应对比度增强,可以实时提高融合传感器信号的图像质量。 LWIR图像的质量通过基于场景的非均匀性校正得到增强。视觉和NIR信号使用“夜色”颜色重新映射技术用于以自然的白天色彩表示融合的多波段夜视图像。还可以使用颜色重新映射来增强在光谱的可见光和NIR范围内伪装的热目标的可见性。动态假色夜间图像使用相应的合成3D场景视图进行了增强,这些视图使用几何3D场景模型结合全球定位系统和系统的惯性传感器提供的位置和方向信息实时生成。初步的现场试验表明,该系统可在各种低能见度条件下提供增强的态势信息。

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