Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach

Identifying the spatial structure of lunar impact craters is necessary to increase our understanding of past geologic processes on the Moon. However, detecting multiscale spatial structures of craters in images in appropriate resolutions using optimum scale parameters has not been quantified. This a...

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Autores principales:	Jiao Wang, Dongping Ming, Weiming Cheng
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Lunar impact crater multiscale spatial structure optimum resolution scale parameter semivariogram Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/d6effbb08351404e9499ca0273e9db11
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id	oai:doaj.org-article:d6effbb08351404e9499ca0273e9db11
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spelling	oai:doaj.org-article:d6effbb08351404e9499ca0273e9db112021-11-19T00:00:10ZIdentification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach2151-153510.1109/JSTARS.2021.3058255https://doaj.org/article/d6effbb08351404e9499ca0273e9db112021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9351609/https://doaj.org/toc/2151-1535Identifying the spatial structure of lunar impact craters is necessary to increase our understanding of past geologic processes on the Moon. However, detecting multiscale spatial structures of craters in images in appropriate resolutions using optimum scale parameters has not been quantified. This article presents a semivariogram approach for this purpose. The range of the semivariogram model represents the minimum average size of the crater type detected in an image of a spatial resolution. The feature lag distances of the semivariogram model indicate that a series of appropriate spatial resolutions rather than a single spatial resolution are required to address multiscale lunar impact crater structures. The optimum scale parameters for delineating multiscale crater structures in segmentation are constrained by the range and feature lag distances derived from semivariogram of the corresponding image in a certain spatial resolution. This article fills the gap in quantifying multiscale spatial structure of impact craters using semivariogram analysis for optimizing object-based crater mapping.Jiao WangDongping MingWeiming ChengIEEEarticleLunar impact cratermultiscale spatial structureoptimum resolutionscale parametersemivariogramOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2731-2739 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Lunar impact crater multiscale spatial structure optimum resolution scale parameter semivariogram Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
spellingShingle	Lunar impact crater multiscale spatial structure optimum resolution scale parameter semivariogram Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Jiao Wang Dongping Ming Weiming Cheng Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
description	Identifying the spatial structure of lunar impact craters is necessary to increase our understanding of past geologic processes on the Moon. However, detecting multiscale spatial structures of craters in images in appropriate resolutions using optimum scale parameters has not been quantified. This article presents a semivariogram approach for this purpose. The range of the semivariogram model represents the minimum average size of the crater type detected in an image of a spatial resolution. The feature lag distances of the semivariogram model indicate that a series of appropriate spatial resolutions rather than a single spatial resolution are required to address multiscale lunar impact crater structures. The optimum scale parameters for delineating multiscale crater structures in segmentation are constrained by the range and feature lag distances derived from semivariogram of the corresponding image in a certain spatial resolution. This article fills the gap in quantifying multiscale spatial structure of impact craters using semivariogram analysis for optimizing object-based crater mapping.
format	article
author	Jiao Wang Dongping Ming Weiming Cheng
author_facet	Jiao Wang Dongping Ming Weiming Cheng
author_sort	Jiao Wang
title	Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
title_short	Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
title_full	Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
title_fullStr	Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
title_full_unstemmed	Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach
title_sort	identification of multiscale spatial structure of lunar impact crater: a semivariogram approach
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/d6effbb08351404e9499ca0273e9db11
work_keys_str_mv	AT jiaowang identificationofmultiscalespatialstructureoflunarimpactcraterasemivariogramapproach AT dongpingming identificationofmultiscalespatialstructureoflunarimpactcraterasemivariogramapproach AT weimingcheng identificationofmultiscalespatialstructureoflunarimpactcraterasemivariogramapproach
_version_	1718420697625133056

Identification of Multiscale Spatial Structure of Lunar Impact Crater: A Semivariogram Approach

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