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首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >A WORLDWIDE 3D GCP DATABASE INHERITED FROM 20 YEARS OF MASSIVE MULTI-SATELLITE OBSERVATIONS
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A WORLDWIDE 3D GCP DATABASE INHERITED FROM 20 YEARS OF MASSIVE MULTI-SATELLITE OBSERVATIONS

机译:全球3D GCP数据库继承了20年的大规模多卫星观测

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High location accuracy is a major requirement for satellite image users. Target performance is usually achieved thanks to either specific on-board satellite equipment or an auxiliary registration reference dataset. Both methods may be expensive and with certain limitations in terms of performance. The Institut national de l’information géographique et forestière (IGN) and Airbus Defence and Space (ADS) have worked together for almost 20 years, to build reference data for improving image location using multi-satellite observations. The first geometric foundation created has mainly used SPOT 5 High Resolution Stereoscopic (HRS) imagery, ancillary Ground Control Points (GCP) and Very High Resolution (VHR) imagery, providing a homogenous location accuracy of 10m CE90 almost all over the world in 2010.Space Reference Points (SRP) is a new worldwide 3D GCP database, built from a plethoric SPOT 6/7 multi-view archive, largely automatically processed, with cloud-based technologies. SRP aims at providing a systematic and reliable solution for image location (Unmanned Aerial Vehicle, VHR satellite imagery, High Altitudes Pseudo-Satellite…) and similar topics thanks to a high-density point distribution with a 3m CE90 accuracy.This paper describes the principle of SRP generation and presents the first validation results. A SPOT 6/7 smart image selection is performed to keep only relevant images for SRP purpose. The location of these SPOT 6/7 images is refined thanks to a spatiotriangulation on the worldwide geometric foundation, itself improved where needed. Points making up the future SRP database are afterward extracted thanks to classical feature detection algorithms and with respect to the expected density. Different filtering methods are applied to keep the best candidates. The last step of the processing chain is the formatting of the data to the delivery format, including metadata. An example of validation of SRP concept and specification on two tests sites (Spain and China) is then given. As a conclusion, the on-going production is shortly presented.
机译:高位置精度是卫星图像用户的主要要求。由于特定的板载卫星设备或辅助登记参考数据集,通常会实现目标性能。两种方法可能是昂贵的并且在性能方面具有一定的限制。 Institut National de L'信息GéogroughtetForestière(IGN)和空中客车防御和空间(广告)在一起近20年,建立了使用多卫星观测改善图像位置的参考数据。创建的第一个几何基础主要是使用现场5个高分辨率立体(HRS)图像,辅助地面控制点(GCP)和非常高分辨率(VHR)图像,在2010年几乎全世界提供10M CE90的均匀位置精度。空间参考点(SRP)是一个新的全球3D GCP数据库,从近地点6/7多视图档案中构建,主要自动处理,基于云的技术。 SRP旨在为图像定位提供系统和可靠的解决方案(无人驾驶飞行器,VHR卫星图像,高海拔伪卫星......)和类似主题,由于具有3M CE90精度的高密度点分布。这篇论文描述了原理SRP生成并提出了第一个验证结果。执行6/7智能图像选择以防止用于SRP目的的相关图像。这些点6/7图像的位置是由于全球几何基础上的时空恒定来精制,本身就改善了所需的地方。由于经典特征检测算法和关于预期密度,构成未来SRP数据库的积分将提取。应用不同的过滤方法以保持最佳候选者。处理链的最后一步是数据格式化到传递格式,包括元数据。然后给出了SRP概念验证的一个例子和两个测试网站(西班牙和中国)的规范。作为结论,很快就会出现持续的生产。

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