{"title":"Landsat 4 TM图像中的自动道路识别和标记","authors":"J. Ton, A.K. Jain, W.R. Enslin, W.D. Hudson","doi":"10.1016/0031-8663(89)90002-1","DOIUrl":null,"url":null,"abstract":"<div><p>A conceptually parallel road detection method in Landsat 4 TM images is proposed. The goal is to detect roads at three different levels: major roads, local roads, and minor roads. This road network information is used for the evaluation of detected potential oil/gas pads, since these pads seldom occur on major roads but are often located at the end of minor access roads.</p><p>The proposed method is composed of two phases: low-level road detection and high-level road labeling. Experimental results from several images show that the proposed method can detect roads reasonably well in the low-level phase and is useful in pad evaluation. Future research includes combining multi-band information in road detection and determining thresholds in a more systematic way.</p></div>","PeriodicalId":101020,"journal":{"name":"Photogrammetria","volume":"43 5","pages":"Pages 257-276"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0031-8663(89)90002-1","citationCount":"41","resultStr":"{\"title\":\"Automatic road identification and labeling in Landsat 4 TM images\",\"authors\":\"J. Ton, A.K. Jain, W.R. Enslin, W.D. Hudson\",\"doi\":\"10.1016/0031-8663(89)90002-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A conceptually parallel road detection method in Landsat 4 TM images is proposed. The goal is to detect roads at three different levels: major roads, local roads, and minor roads. This road network information is used for the evaluation of detected potential oil/gas pads, since these pads seldom occur on major roads but are often located at the end of minor access roads.</p><p>The proposed method is composed of two phases: low-level road detection and high-level road labeling. Experimental results from several images show that the proposed method can detect roads reasonably well in the low-level phase and is useful in pad evaluation. Future research includes combining multi-band information in road detection and determining thresholds in a more systematic way.</p></div>\",\"PeriodicalId\":101020,\"journal\":{\"name\":\"Photogrammetria\",\"volume\":\"43 5\",\"pages\":\"Pages 257-276\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0031-8663(89)90002-1\",\"citationCount\":\"41\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Photogrammetria\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0031866389900021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photogrammetria","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0031866389900021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic road identification and labeling in Landsat 4 TM images
A conceptually parallel road detection method in Landsat 4 TM images is proposed. The goal is to detect roads at three different levels: major roads, local roads, and minor roads. This road network information is used for the evaluation of detected potential oil/gas pads, since these pads seldom occur on major roads but are often located at the end of minor access roads.
The proposed method is composed of two phases: low-level road detection and high-level road labeling. Experimental results from several images show that the proposed method can detect roads reasonably well in the low-level phase and is useful in pad evaluation. Future research includes combining multi-band information in road detection and determining thresholds in a more systematic way.