Font Size: a A A

Research On Automatic Recognition And Spatial Differentiation Of Lunar Impact Crater

Posted on:2018-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhangFull Text:PDF
GTID:2310330518998278Subject:Geography
Abstract/Summary:PDF Full Text Request
Impact crater is the most obvious geomorphic feature of lunar surface. It is one of the most important research topics in the field of aviation industry to extract the impact crater. With the rapid development of science and technology, the identification technology of impact crater has entered into the stage of automatic identification. The effective identification of impact crater is the basis of studying the characteristics of impact crater.Therefore,in the face of today's massive lunar exploration data,It is a hotspot to study the automation and intelligence of the crater identification.Analysis of impact crater index,It can be used to study the morphological characteristics and spatial and temporal distribution of craters.Provide the basis for the study of evolution and the analysis of the lunar crater by meteorite impact history.1.The full moon DEM data of 100m precision is used as the information source.Automatic identification of impact crater based on the algorithm of the depression and the Otsu algorithm.A total of 20435 impact craters were identified.In order to verify the superiority and feasibility of this method, the effect of the crater is compared with other methods.Comparison of the impact craters identified by the International Astronomical Union.The difference between the center and latitude of the impact crater is small.The recognition results are good.2.Based on the data of the whole moon crater,building the index information of impact crater.Including the center latitude and longitude, diameter, depth, roundness,depth to diameter ratio, radiation patterns, etc.Combined with the data of the whole moon crater and some terrain factor of moon DEM to extract the attribute information needed for the crater.The diameter of the crater is between 331.064m and 547056m, and the diameter of the crater decreases as the diameter increases.The small crater is steeper,and the large crater is flat. 130 craters with obvious radiation pattern are identified, which provides a reference for predicting the formation age of the crater.3.According to the size and morphology of the impact crater, the impact crater is divided into simple impact crater,complex impact crater,impact basin. The large number and wide distribution of simple impact craters, and the data of complex impact crater and impact basin are few, and the distribution is uneven.Therefore,the simple impact craters are mainly analyzed.Calculate the impact crater diameter, and analysis local clustering.The impact crater is classified into 4 categories, which are of high value clustering, spatial discretization (High values are surrounded by low values),spatial discretization (Low values are surrounded by high values),low value clustering around. Geostatistical analysis of the diameter of impact crater from 4 different areas which are the mare area, Highland mare transition, highland(front)and highland(back). The spatial autocorrelation of the crater is weak,the spatial autocorrelation of the highland(back) is weakest, on the front of the moon,Spatial autocorrelation from land transition to mare is weak.
Keywords/Search Tags:Impact crater identification, Threshold segmentation, Index construction, Clustering, Spatial autocorrelation
PDF Full Text Request
Related items