English(EN) Super-resolved digital terrain models for GEDI geolocation correction: agreement with airborne LiDAR DTM-based corrections at the beam level, not the footprint level

利用超分辨率地形模型改进GEDI任务数据地理定位

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 05:00

研究人员开发了一种方法来提高国际空间站上LiDAR仪器收集的全球生态系统动力学调查（GEDI）任务数据的地理定位精度。通过对现有低分辨率数字高程模型（DTMs）进行超分辨率处理并与全球DTMs融合，他们可以在航带级别上实现与高分辨率机载LiDAR DTMs推导出的校正非常接近的校正。然而，每观测值的校正仍然存在显著误差，这可能是由于输入DTMs的精度问题。 AI

影响提高了基于卫星的森林结构测量的准确性，可能有助于气候和生态研究。

排序理由关于改进遥感数据地理定位的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Natsuki Yuda, Shinichiro Shirota · 2026-11-09 05:00

用于 GEDI 定位校正的超分辨率数字高程模型：在光束级别而非足迹级别与基于机载 LiDAR DTM 的校正一致

arXiv:2611.09854v1 Announce Type: cross Abstract: The Global Ecosystem Dynamics Investigation (GEDI) mission measures three-dimensional forest structure with a LiDAR aboard the International Space Station. GEDI observations have geolocation errors of about 10 m, which cause misal…

本文如何被排名

报道来源 [1]

用于 GEDI 定位校正的超分辨率数字高程模型：在光束级别而非足迹级别与基于机载 LiDAR DTM 的校正一致

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