Matches in SemOpenAlex for { <https://semopenalex.org/work/W2295106370> ?p ?o ?g. }
- W2295106370 endingPage "71" @default.
- W2295106370 startingPage "62" @default.
- W2295106370 abstract "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°N to 70°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." @default.
- W2295106370 created "2016-06-24" @default.
- W2295106370 creator A5028682754 @default.
- W2295106370 creator A5039854795 @default.
- W2295106370 creator A5041849863 @default.
- W2295106370 creator A5065286115 @default.
- W2295106370 creator A5090292495 @default.
- W2295106370 date "2016-06-01" @default.
- W2295106370 modified "2023-09-27" @default.
- W2295106370 title "Lunar textural analysis based on WAC-derived kilometer-scale roughness and entropy maps" @default.
- W2295106370 cites W1150696571 @default.
- W2295106370 cites W1925592482 @default.
- W2295106370 cites W1934572660 @default.
- W2295106370 cites W1948975013 @default.
- W2295106370 cites W1982549120 @default.
- W2295106370 cites W1995875735 @default.
- W2295106370 cites W2014850967 @default.
- W2295106370 cites W2016713483 @default.
- W2295106370 cites W2020406897 @default.
- W2295106370 cites W2034388547 @default.
- W2295106370 cites W2037683677 @default.
- W2295106370 cites W2041815275 @default.
- W2295106370 cites W2058611739 @default.
- W2295106370 cites W2058930929 @default.
- W2295106370 cites W2061879581 @default.
- W2295106370 cites W2065372606 @default.
- W2295106370 cites W2065657335 @default.
- W2295106370 cites W2071619825 @default.
- W2295106370 cites W2076084792 @default.
- W2295106370 cites W2078366250 @default.
- W2295106370 cites W2079298280 @default.
- W2295106370 cites W2082197764 @default.
- W2295106370 cites W2087953434 @default.
- W2295106370 cites W2120772453 @default.
- W2295106370 cites W2129358820 @default.
- W2295106370 cites W2131453808 @default.
- W2295106370 cites W2146016555 @default.
- W2295106370 cites W2157494358 @default.
- W2295106370 cites W2160619163 @default.
- W2295106370 cites W2164761392 @default.
- W2295106370 cites W2164899728 @default.
- W2295106370 cites W2171032696 @default.
- W2295106370 cites W2178700827 @default.
- W2295106370 cites W2328042879 @default.
- W2295106370 cites W4253506662 @default.
- W2295106370 doi "https://doi.org/10.1016/j.pss.2016.03.004" @default.
- W2295106370 hasPublicationYear "2016" @default.
- W2295106370 type Work @default.
- W2295106370 sameAs 2295106370 @default.
- W2295106370 citedByCount "4" @default.
- W2295106370 countsByYear W22951063702018 @default.
- W2295106370 countsByYear W22951063702019 @default.
- W2295106370 countsByYear W22951063702020 @default.
- W2295106370 countsByYear W22951063702021 @default.
- W2295106370 crossrefType "journal-article" @default.
- W2295106370 hasAuthorship W2295106370A5028682754 @default.
- W2295106370 hasAuthorship W2295106370A5039854795 @default.
- W2295106370 hasAuthorship W2295106370A5041849863 @default.
- W2295106370 hasAuthorship W2295106370A5065286115 @default.
- W2295106370 hasAuthorship W2295106370A5090292495 @default.
- W2295106370 hasConcept C106301342 @default.
- W2295106370 hasConcept C107365816 @default.
- W2295106370 hasConcept C120665830 @default.
- W2295106370 hasConcept C121332964 @default.
- W2295106370 hasConcept C127313418 @default.
- W2295106370 hasConcept C159985019 @default.
- W2295106370 hasConcept C160633673 @default.
- W2295106370 hasConcept C192562407 @default.
- W2295106370 hasConcept C205649164 @default.
- W2295106370 hasConcept C2778755073 @default.
- W2295106370 hasConcept C58640448 @default.
- W2295106370 hasConcept C62520636 @default.
- W2295106370 hasConcept C62649853 @default.
- W2295106370 hasConcept C71039073 @default.
- W2295106370 hasConceptScore W2295106370C106301342 @default.
- W2295106370 hasConceptScore W2295106370C107365816 @default.
- W2295106370 hasConceptScore W2295106370C120665830 @default.
- W2295106370 hasConceptScore W2295106370C121332964 @default.
- W2295106370 hasConceptScore W2295106370C127313418 @default.
- W2295106370 hasConceptScore W2295106370C159985019 @default.
- W2295106370 hasConceptScore W2295106370C160633673 @default.
- W2295106370 hasConceptScore W2295106370C192562407 @default.
- W2295106370 hasConceptScore W2295106370C205649164 @default.
- W2295106370 hasConceptScore W2295106370C2778755073 @default.
- W2295106370 hasConceptScore W2295106370C58640448 @default.
- W2295106370 hasConceptScore W2295106370C62520636 @default.
- W2295106370 hasConceptScore W2295106370C62649853 @default.
- W2295106370 hasConceptScore W2295106370C71039073 @default.
- W2295106370 hasLocation W22951063701 @default.
- W2295106370 hasOpenAccess W2295106370 @default.
- W2295106370 hasPrimaryLocation W22951063701 @default.
- W2295106370 hasRelatedWork W2021883879 @default.
- W2295106370 hasRelatedWork W2082199675 @default.
- W2295106370 hasRelatedWork W2103037206 @default.
- W2295106370 hasRelatedWork W2166770994 @default.
- W2295106370 hasRelatedWork W2340982607 @default.
- W2295106370 hasRelatedWork W2352712002 @default.
- W2295106370 hasRelatedWork W2386922414 @default.