{"title":"利用边界点和半色调信息识别卫星图像上的海岸线","authors":"S. Semenov, N. A. Abushenko, A. S. Chichigin","doi":"10.1080/07493878.1999.10642126","DOIUrl":null,"url":null,"abstract":"Algorithms are written for discriminating shorelines on satellite images using halftone (edge) and boundary (contour)-point information, this being the first stage in the process of identifying lakes, rivers, etc. Areas of distinctive morphometry are first discriminated on the image and this image is then broken down into regions corresponding to the features present on the image. The physical information present on satellite images also is used to select the initial points used in the performance of such a procedure.","PeriodicalId":175956,"journal":{"name":"Mapping Sciences & Remote Sensing","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"DISCRIMINATION OF SHORELINES ON SATELLITE IMAGES FROM BOUNDARY-POINT AND HALFTONE INFORMATION\",\"authors\":\"S. Semenov, N. A. Abushenko, A. S. Chichigin\",\"doi\":\"10.1080/07493878.1999.10642126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithms are written for discriminating shorelines on satellite images using halftone (edge) and boundary (contour)-point information, this being the first stage in the process of identifying lakes, rivers, etc. Areas of distinctive morphometry are first discriminated on the image and this image is then broken down into regions corresponding to the features present on the image. The physical information present on satellite images also is used to select the initial points used in the performance of such a procedure.\",\"PeriodicalId\":175956,\"journal\":{\"name\":\"Mapping Sciences & Remote Sensing\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mapping Sciences & Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07493878.1999.10642126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mapping Sciences & Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07493878.1999.10642126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DISCRIMINATION OF SHORELINES ON SATELLITE IMAGES FROM BOUNDARY-POINT AND HALFTONE INFORMATION
Algorithms are written for discriminating shorelines on satellite images using halftone (edge) and boundary (contour)-point information, this being the first stage in the process of identifying lakes, rivers, etc. Areas of distinctive morphometry are first discriminated on the image and this image is then broken down into regions corresponding to the features present on the image. The physical information present on satellite images also is used to select the initial points used in the performance of such a procedure.
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