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Coregistration of multispectral imagery for spaceborne detection of incipient forest fires

机译:多光谱影像的配准,用于森林火灾的星载探测

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Abstract: Discrimination of small wildfires by dual-wavelength imaging at high spatial resolution (10 m) must be made against a variable background (scene clutter) caused by diffuse and specular sunlight reflections and self-emission from the scene. Small fires can be readily detected at wavelengths longer than about 1400 nm in the near infrared. From a specific ground spot, the ratio of signal intensities in bands near 2400 and 3700 nm gives an 'effective temperature' that is a useful discriminant against scene clutter. Co- registration of the scene images in the two wavelength regions is important when applying the technique, particularly from a space platform where the angular size of the ground footprint is small. This paper shows that atmospheric refraction and turbulence can be ignored, while window wedge angles, lens centration errors and spectral variations in the size of the ground footprint must be dealt with by calibration or additional signal processing. !9
机译:摘要:必须在高空间分辨率(10 m)的双波长成像下对小野火进行区分,这种变化应在由漫反射和镜面阳光反射以及场景自发光引起的可变背景(场景混乱)下进行。在近红外波长大于1400 nm处可以轻易检测到小火。从特定的地面点开始,在2400和3700 nm附近的波段中信号强度的比率给出了一个“有效温度”,可以有效地区分场景杂波。应用该技术时,在两个波长区域内对场景图像进行共配准非常重要,尤其是在地面覆盖区的角尺寸较小的空间平台上。本文表明,大气折射和湍流可以忽略不计,而窗楔角,透镜对中误差和地面覆盖区大小的光谱变化必须通过校准或其他信号处理来解决。 !9

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