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CURRENT CHALLENGES IN OPERATIONAL VERY HIGH RESOLUTION LAND-COVER MAPPING

机译:运行非常高分辨率陆地覆盖映射的当前挑战

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Many land-cover products have been made available for a large range of end-users over the last ten years, even at global scales. In particular, remote sensing data analysis has proved to be the most feasible solution for automation purposes, at multiple spatial scales. However, current solutions are not sufficient for designing better products, adapted to real-case applications, operational constraints, and the generation of services, built upon these core layers. In this paper, we review the main requirements and the recent changes in remote sensing for the specific case of very high resolution land-cover mapping. We also comment current and evaluate challenges for the optimal exploitation of Earth Observation images with the aim of automatically generating maps tailored to specific end-users’ needs. We advocate for more challenging large-scale benchmarks and for human-in-the-loop solutions.
机译:即使在全球范围内,也已经在过去十年中提供了许多陆地覆盖产品,即使在过去十年中也可以提供大量的最终用户。特别是,在多个空间尺度上被证明是遥感数据分析是自动化目的最可行的解决方案。然而,目前的解决方案不足以设计更好的产品,适用于实际应用,操作约束以及建立在这些核心层上的服务。在本文中,我们审查了对非常高分辨率陆地覆盖映射的具体情况的遥感的主要要求和最近的变化。我们还评论当前并评估最佳利用地球观测图像的挑战,目的是自动生成针对特定最终用户需求的地图。我们倡导更具挑战性的大型基准和人类循环解决方案。

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