{"title":"基于GF-1卫星遥感影像的港口空间格局监测与评价","authors":"Xuchun Li, Huimin Xu, Fushan Zhang, A. Suo","doi":"10.1109/PRRS.2018.8486388","DOIUrl":null,"url":null,"abstract":"In this paper, domestic GF-1 satellite remote sensing imagery is used to analyze the internal spatial pattern of the port and the characteristics of its constituent elements, and an object-oriented remote sensing monitoring method and process for port space pattern is established. The dock shoreline index and the dock coastline utilization index are explored and constructed. Dock index, storage yard index and dock basin index were used to evaluate the intensive use of port space patterns, and an empirical study was conducted in the Yingkou Bayuquan port area. The results showed that the dock shoreline index of Yingkou Bayuquan Port area was 0.51, the dock coastline utilization index was 15.08 million tons/km, the dock index was 12.23 hm2/km, the dock basin index was 242.76 hm2/km, and the storage yard index was 108.46 hm2/km. The utilization index of the dock coastline is basically 150 million tons/km, and the basic ratio of the dock and dock area, storage yard area and dock basin area is 1.00:12.00:108.00:250.00. Yingkou Bayuquan Port still has a potential of 88.21 million tons of throughput per year.","PeriodicalId":197319,"journal":{"name":"2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Monitoring and Assessment of the Space Pattern of Ports Based on GF-1 Satellite Remote-Sensing Images\",\"authors\":\"Xuchun Li, Huimin Xu, Fushan Zhang, A. Suo\",\"doi\":\"10.1109/PRRS.2018.8486388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, domestic GF-1 satellite remote sensing imagery is used to analyze the internal spatial pattern of the port and the characteristics of its constituent elements, and an object-oriented remote sensing monitoring method and process for port space pattern is established. The dock shoreline index and the dock coastline utilization index are explored and constructed. Dock index, storage yard index and dock basin index were used to evaluate the intensive use of port space patterns, and an empirical study was conducted in the Yingkou Bayuquan port area. The results showed that the dock shoreline index of Yingkou Bayuquan Port area was 0.51, the dock coastline utilization index was 15.08 million tons/km, the dock index was 12.23 hm2/km, the dock basin index was 242.76 hm2/km, and the storage yard index was 108.46 hm2/km. The utilization index of the dock coastline is basically 150 million tons/km, and the basic ratio of the dock and dock area, storage yard area and dock basin area is 1.00:12.00:108.00:250.00. Yingkou Bayuquan Port still has a potential of 88.21 million tons of throughput per year.\",\"PeriodicalId\":197319,\"journal\":{\"name\":\"2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRRS.2018.8486388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRRS.2018.8486388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Monitoring and Assessment of the Space Pattern of Ports Based on GF-1 Satellite Remote-Sensing Images
In this paper, domestic GF-1 satellite remote sensing imagery is used to analyze the internal spatial pattern of the port and the characteristics of its constituent elements, and an object-oriented remote sensing monitoring method and process for port space pattern is established. The dock shoreline index and the dock coastline utilization index are explored and constructed. Dock index, storage yard index and dock basin index were used to evaluate the intensive use of port space patterns, and an empirical study was conducted in the Yingkou Bayuquan port area. The results showed that the dock shoreline index of Yingkou Bayuquan Port area was 0.51, the dock coastline utilization index was 15.08 million tons/km, the dock index was 12.23 hm2/km, the dock basin index was 242.76 hm2/km, and the storage yard index was 108.46 hm2/km. The utilization index of the dock coastline is basically 150 million tons/km, and the basic ratio of the dock and dock area, storage yard area and dock basin area is 1.00:12.00:108.00:250.00. Yingkou Bayuquan Port still has a potential of 88.21 million tons of throughput per year.