Improving georeferencing accuracy of Very High Resolution satellite imagery using freely available ancillary data at global coverage

ABSTRACT

While impressive direct geolocation accuracies better than 5.0?m CE90 (90% of circular error) can be achieved from the last DigitalGlobe’s Very High Resolution (VHR) satellites (i.e. GeoEye-1 and WorldView-1/2/3/4), it is insufficient for many precise geodetic applications. For these sensors, the best horizontal geopositioning accuracies (around 0.55?m CE90) can be attained by using third-order 3D rational functions with vendor’s rational polynomial coefficients data refined by a zero-order polynomial adjustment obtained from a small number of very accurate ground control points (GCPs). However, these high-quality GCPs are not always available. In this work, two different approaches for improving the initial direct geolocation accuracy of VHR satellite imagery are proposed. Both of them are based on the extraction of three-dimensional GCPs from freely available ancillary data at global coverage such as multi-temporal information of Google Earth and the Shuttle Radar Topography Mission 30?m digital elevation model. The application of these approaches on WorldView-2 and GeoEye-1 stereo pairs over two different study sites proved to improve the horizontal direct geolocation accuracy values around of 75%.     

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一种GIS空间知识分析的影像纹理尺度提取算法

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Auto-identification of forest fire-points in NOAA images based on neural network

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A rule-based parameter aided with object-based classification approach for extraction of building and roads from WorldView-2 images

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地震次生地质灾害应急调查多源遥感影像处理及应用——以汶川大地震为例

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国产“环境一号”(HJ-1)卫星遥感影像桥梁提取研究

基于桥梁与水体的空间关系,结合卫星遥感影像数据包含的多光谱和形态学特征信息,提出一种有效提取国产“环境一号”(HJ-1)卫星遥感影像桥梁目标的方法.利用国产“环境一号”(HJ-1)卫星遥感影像数据进行桥梁目标提取试验.结果表明,该方法能快速、准确、有效地提取“环境一号”卫星影像中的桥梁目标,具有一定的应用价值.     

GeoEye-1立体像对在公路勘测中的应用研究

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