Multi-sensor terrain classification for safe spacecraft landing
Multi-sensor terrain classification for safe spacecraft landing
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DOI：
10.1109/taes.2004.1386868
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发表时间：
2004-10
影响因子：
4.4
通讯作者：
Ayanna M. Howard;H. Seraji
中科院分区：
文献类型：
--
作者：
Ayanna M. Howard;H. Seraji
提出了一种多传感器信息融合的智能地形分类方法。本研究的重点是利用航天器下降过程中机载传感器获得的图像数据分析地形的安全特性。这些信息可用于使航天器安全降落在行星表面。我们的方法的重点是强大的地形分析和信息融合，其中地形分析使用多个传感器和提取的地形特征相结合，选择安全着陆点触地。这种方法的新奇在于结合了T-Hazard Map，这是一种多值地图，表示与在行星表面着陆相关的风险。文中详细介绍了该融合方法，并给出了计算机仿真结果，验证了该方法的有效性。
A novel multi-sensor information fusion methodology for intelligent terrain classification is presented. The focus of this research is to analyze safety characteristics of the terrain using imagery data obtained by on-board sensors during spacecraft descent. This information can be used to enable the spacecraft to land safely on a planetary surface. The focus of our approach is on robust terrain analysis and information fusion in which the terrain is analyzed using multiple sensors and the extracted terrain characteristics are combined to select safe landing sites for touchdown. The novelty of this method is the incorporation of the T-Hazard Map, a multi-valued map representing the risk associated with landing on a planetary surface. The fusion method is explained in detail in this paper and computer simulation results are presented to validate the approach.