Review and prospect of lunar mapping using remote sensing data
文献类型：期刊论文
| 作者 | Di, Kaichang1; Liu, Bin1; Liu, Zhaoqin1; Zou, Yongliao1 |
| 刊名 | Yaogan Xuebao/Journal of Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 20期号:5页码:1230-1242 |
| 通讯作者 | Liu, Zhaoqin (liuzq@radi.ac.cn) |
| 英文摘要 | This paper presents a review of lunar exploration missions and techniques, as well as the products of lunar mapping using remote sensing data. Since 1958, 126 lunar exploration missions have been carried out, and 70 of these missions were successful. Lunar exploration missions can be broadly classified into unmanned and manned missions, with unmanned probes mainly using an orbiter, a lander, and a rover. Lunar surface mapping using remote sensing data is one of the fundamental tasks in these missions and is critical to support other science or engineering tasks. Lunar mapping is more challenging and difficult compared with Earth mapping because orbit and attitude determination is of relatively low accuracy, a global navigation satellite system is lacking, obtaining ground truth for geometric and radiometric calibration is difficult, and the lunar surface is a desolated environment with poor image texture. A vast amount of remote sensing data have been acquired from successful missions. The two primary data sources for lunar mapping are orbital optical images and laser altimeter data. Among the optical images, the Chang'E-2 stereo images cover the entire moon surface with 7 m resolution, and the narrow-angle images of the lunar reconnaissance orbiter camera offer the highest spatial resolution of up to 0.5 m but with limited coverage. Among the laser altimeter data, the lunar orbiter laser altimeter data of the lunar reconnaissance orbiter show the highest precision and density. Orbital remote sensing data provide facilitate global and regional mapping with medium and high resolutions, where slander and rover images offer the highest resolution (up to millimeter level) for the detailed mapping of the landing site and traversing area. Photogrammetric techniques, including geometric sensor modeling, image block adjustment, stereo image matching, space intersection for 3D position computation, and DEM and orthophoto generation, have been developed by the planetary mapping community for lunar mapping from orbiter, lander, and rover images. The rigorous sensor models of orbital images are usually established by collinearity equations with interior and exterior orientation parameters. Bundle adjustment is a rigorous block adjustment method that simultaneously solves exterior orientation parameters and 3D ground points with high accuracy and consistency. A generic geometric model, with a rational function model as the representative, has been investigated and used in lunar mapping. Unlike rigorous sensor models, rational function models are simple and independent of sensors. It is particularly advantageous for integrated mapping using multiple images from the same orbiter or different orbiters. Global image mosaics and global DEM have been produced by mission teams with resolutions ranging from tens to hundreds of meters. Sub-meter to meter resolution regional maps have been produced for scientific investigation orthe selection of landing sites. Centimeter resolution maps have been generated from lander or rover images to support in-situ investigations and rover traverse planning at landing sites. Some future research directions of lunar mapping using remote sensing data are discussed at the end of the paper, along with the construction of a new-generation lunar global control network using the newly acquired multi-mission data, fine-resolution lunar mapping using multi-mission multi-coverage images, automated processing of huge amount of data, lunar mapping standards, data sharing, and international cooperation. © 2016, Science Press. All right reserved. |
| 收录类别 | EI |
| 语种 | 中文 |
| WOS记录号 | WOS:20164402965609 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39571]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 4.100101, China |
| 推荐引用方式 GB/T 7714 | Di, Kaichang,Liu, Bin,Liu, Zhaoqin,et al. Review and prospect of lunar mapping using remote sensing data[J]. Yaogan Xuebao/Journal of Remote Sensing,2016,20(5):1230-1242. |
| APA | Di, Kaichang,Liu, Bin,Liu, Zhaoqin,&Zou, Yongliao.(2016).Review and prospect of lunar mapping using remote sensing data.Yaogan Xuebao/Journal of Remote Sensing,20(5),1230-1242. |
| MLA | Di, Kaichang,et al."Review and prospect of lunar mapping using remote sensing data".Yaogan Xuebao/Journal of Remote Sensing 20.5(2016):1230-1242. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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