...
首页> 外文期刊>Planetary and space science >Lunar textural analysis based on WAC-derived kilometer-scale roughness and entropy maps
【24h】

Lunar textural analysis based on WAC-derived kilometer-scale roughness and entropy maps

机译:基于WAC的公里尺度粗糙度和熵图的月球纹理分析

获取原文
获取原文并翻译 | 示例

摘要

In general, textures are thought to be some complicated repeated patterns formed by elements, or primitives which are sorted in certain rules. Lunar surfaces record the interactions between its outside environment and itself, thus, based on high-resolution DEM model or image data, there are some topographic features which have different roughness and entropy values or signatures on lunar surfaces. Textures of lunar surfaces can help us to concentrate on typical topographic and photometric variations and reveal the relationships between obvious features (craters, impact basins, sinuous rilles (SRs) and ridges) with resurfacing processes on the Moon. In this paper, the term surface roughness is an expression of the variability of a topographic or photometric surface at kilometer scale, and the term entropy can characterize the variability inherent in a geological and topographic unit and evaluate the uncertainty of predictions made by a given geological process. We use the statistical moments of gray level histograms in different-sized neighborhoods (e.g., 3, 5, 10, 20, 40 and 80 pixels) to compute the kilometer-scale roughness and entropy values, using the mosaic image from 70 degrees N to 70 degrees S obtained by Lunar Reconnaissance Orbiter (LRO) Wide Angle Camera (WAC). Large roughness and entropy signatures were only found in the larger scale maps, while the smallest 3-pixel scale map had more disorderly and unsystematic textures. According to the entropy values in 10-pixel scale entropy map, we made a frequency curve and categorized lunar surfaces into three types, shadow effects, maria and highlands. A 2D scatter plot of entropy versus roughness values was produced and we found that there were two point clusters corresponding to the highlands and maria, respectively. In the last, we compared the topographic and photometric signatures derived from Lunar Orbiter Laser Altimeter (LOLA) data and WAC mosaic image. On the lunar surfaces, the ridges have obvious multilevel topographic textures which are sensitive to the topographic changes, while the ejecta deposits of fresh craters appear obvious photometric textures which are sensitive to the brightness variations. (C) 2016 Elsevier Ltd. All rights reserved.
机译:通常,纹理被认为是由按某些规则排序的元素或图元形成的一些复杂的重复图案。月球表面记录了其外部环境与其自身之间的相互作用,因此,基于高分辨率DEM模型或图像数据,月球表面上存在一些具有不同粗糙度和熵值或特征的地形特征。月球表面的纹理可以帮助我们专注于典型的地形和光度学变化,并揭示月球表面重现过程中明显特征(陨石坑,撞击盆地,蜿蜒小溪谷和山脊)之间的关系。在本文中,术语“表面粗糙度”表示地形或光度学表面在千米尺度上的变异性,术语“熵”可以表征地质和地形学单位固有的变异性,并评估给定地质学预测的不确定性处理。我们使用不同大小的邻域(例如3、5、10、20、40和80像素)中的灰度直方图的统计矩,使用从70度N到50度的马赛克图像来计算千米级的粗糙度和熵值。由月球侦察轨道器(LRO)广角相机(WAC)获得的70度。大的粗糙度和熵特征仅在较大的比例贴图中发现,而最小的3像素比例贴图则具有更多无序且非系统的纹理。根据10像素比例熵图中的熵值,我们绘制了频率曲线,并将月球表面分为阴影效果,玛丽亚和高地三种类型。绘制了熵与粗糙度值的二维散点图,我们发现有两个点簇分别对应于高地和玛丽亚。最后,我们比较了从月球轨道激光测高仪(LOLA)数据和WAC马赛克图像得出的地形和光度学特征。在月球表面,山脊具有明显的多级地形纹理,对地形变化敏感,而新鲜火山口的喷出沉积物则具有明显的光度纹理,对亮度变化敏感。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Planetary and space science 》 |2016年第6期| 62-71| 共10页
  • 作者单位

    Shandong Univ, Inst Space Sci, Shandong Prov Key Lab Opt Astron & Solar Terr Env, 180 Wenhua Xilu, Weihai 264209, Peoples R China;

    Petrochina Southwest Oil & Gasfield Co, Engn Technol Res Inst, Guanghan 618300, Peoples R China;

    Shandong Univ, Inst Space Sci, Shandong Prov Key Lab Opt Astron & Solar Terr Env, 180 Wenhua Xilu, Weihai 264209, Peoples R China;

    Shandong Univ, Inst Space Sci, Shandong Prov Key Lab Opt Astron & Solar Terr Env, 180 Wenhua Xilu, Weihai 264209, Peoples R China;

    Shandong Univ, Inst Space Sci, Shandong Prov Key Lab Opt Astron & Solar Terr Env, 180 Wenhua Xilu, Weihai 264209, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Texture analysis; Lunar surfaces; Roughness and entropy maps; WAC mosaic image; Topographic and photometric textures;

    机译:纹理分析;月球表面;粗糙度和熵图;WAC马赛克图像;地形和光度学纹理;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号