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AVHRR rectification using orbital navigation and image matching

机译:AVHRR使用轨道导航和图像匹配整流

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Polar orbital satellites with low spatial resolution sensors, such as the AVHRR, provide global coverage with a short repetition period. The data is directly transmitted to ground stations, and can be distributed immediately after data acquisition. Near real time applications can be implemented if the adequate processing tools are available. One task usually needed is the geometric correction of image data. Automatic methods, based on satellite orbital parameters, can in some cases provide satisfactory results. However, the identification of Ground Control Points (GCPs) is generally required in order to achieve registration errors below the pixel size. A fully automatic method for the geometric registration of AVHRR data is proposed here. The method comprises four stages: (i) an initial image transformation based on orbital parameters, (ii) image segmentation of this image into 3 main classes (land, water, cloud) and 9 additional classes of mixed water and land at various levels, (iii) automatic GCP collection by image matching, (iv) final image production combining both orbital and GCP information. The method was tested on ten images of the Iberian Peninsula, and proved effective in accurately geo-referencing sub-sections of an AVHRR scene of medium dimension in a few minutes.
机译:极性轨道卫星具有低空间分辨率传感器,如AVHRR,提供了短暂重复时段的全局覆盖范围。数据直接传输到地站,并且可以在数据采集后立即分发。如果有足够的处理工具可用,则可以实现近实时应用程序。通常需要的一个任务是图像数据的几何校正。基于卫星轨道参数的自动方法可以在某些情况下提供令人满意的结果。然而,通常需要识别地面控制点(GCP),以便在像素尺寸以下实现注册误差。这里提出了一种全自动的AVHRR数据的几何登记方法。该方法包括四个阶段:(i)基于轨道参数的初始图像转换,(ii)此图像的图像分割成3个主要类(土地,水,云)和9类的混合水和土地各级, (iii)通过图像匹配的自动GCP收集,(iv)最终图像制作结合轨道和GCP信息。该方法在伊比利亚半岛的十个图像上进行了测试,并在几分钟内准确地在准确地地地理参考中等尺寸的AVHRR场景的子部分。

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