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首页> 外文会议>Conference on Image and Signal Processing for Remote Sensing VIII, Sep 24-27, 2002, Agia Pelagia, Crete, Greece >AVHRR rectification using orbital navigation and image matching
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AVHRR rectification using orbital navigation and image matching

机译：使用轨道导航和图像匹配进行AVHRR校正

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摘要

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：具有低空间分辨率传感器的极地轨道卫星，例如AVHRR，可在较短的重复周期内提供全球覆盖。数据直接传输到地面站，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，则可以实现近乎实时的应用程序。通常需要完成的一项任务是图像数据的几何校正。在某些情况下，基于卫星轨道参数的自动方法可以提供令人满意的结果。但是，通常需要识别地面控制点（GCP），以实现低于像素尺寸的配准误差。本文提出了一种自动进行AVHRR数据几何配准的方法。该方法包括四个阶段：（ⅰ）基于轨道参数的初始图像转换；（ⅱ）将该图像分成3个主要类别（土地，水，云）和9个其他类别的不同水平的水和土地的图像分割， （ⅲ）通过图像匹配自动收集GCP，（ⅳ）结合轨道和GCP信息的最终图像生成。该方法在伊比利亚半岛的十幅图像上进行了测试，并证明在几分钟内可以有效地对中尺度AVHRR场景的子区域进行精确的地理参考。

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