{"title":"基于对抗原则和先验知识的航空影像建筑物提取","authors":"Gang Xu, Liang. Gao, Xue Yuan","doi":"10.1109/ICCEE.2009.176","DOIUrl":null,"url":null,"abstract":"Automatic building extraction is a bottleneck of automatic surveying and mapping of big scale urban image. For the single aerial gray-scale image, the automatic buildings extraction, an algorithm based on the principle of confrontation and using the priori knowledge of building is presented here. A two-dimension OTSU segmentation will be used to do the rough segmentation because of the characteristics of high-brightness which the roof of the building has; then we use mathematical morphology, image segmentation, edge detection and other measures to detect the non-building, so using the principle of confrontation and removing the non-buildings, the buildings can be extracted. At last the extraction result will be verified using the information of the building shadow, the area of building roof, altitude information and other prior knowledge, in order to improve the accuracy of building extraction in the aerial image. Moreover, the method proposed is test in our experiment using the true-color aerial image. Theoretical analysis and experimental results show building can be extracted effectively by means of the algorithm proposed and it is necessary to research deeply.","PeriodicalId":343870,"journal":{"name":"2009 Second International Conference on Computer and Electrical Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Building Extraction from Aerial Imagery Based on the Principle of Confrontation and Priori Knowledge\",\"authors\":\"Gang Xu, Liang. Gao, Xue Yuan\",\"doi\":\"10.1109/ICCEE.2009.176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic building extraction is a bottleneck of automatic surveying and mapping of big scale urban image. For the single aerial gray-scale image, the automatic buildings extraction, an algorithm based on the principle of confrontation and using the priori knowledge of building is presented here. A two-dimension OTSU segmentation will be used to do the rough segmentation because of the characteristics of high-brightness which the roof of the building has; then we use mathematical morphology, image segmentation, edge detection and other measures to detect the non-building, so using the principle of confrontation and removing the non-buildings, the buildings can be extracted. At last the extraction result will be verified using the information of the building shadow, the area of building roof, altitude information and other prior knowledge, in order to improve the accuracy of building extraction in the aerial image. Moreover, the method proposed is test in our experiment using the true-color aerial image. Theoretical analysis and experimental results show building can be extracted effectively by means of the algorithm proposed and it is necessary to research deeply.\",\"PeriodicalId\":343870,\"journal\":{\"name\":\"2009 Second International Conference on Computer and Electrical Engineering\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Second International Conference on Computer and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEE.2009.176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2009.176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Building Extraction from Aerial Imagery Based on the Principle of Confrontation and Priori Knowledge
Automatic building extraction is a bottleneck of automatic surveying and mapping of big scale urban image. For the single aerial gray-scale image, the automatic buildings extraction, an algorithm based on the principle of confrontation and using the priori knowledge of building is presented here. A two-dimension OTSU segmentation will be used to do the rough segmentation because of the characteristics of high-brightness which the roof of the building has; then we use mathematical morphology, image segmentation, edge detection and other measures to detect the non-building, so using the principle of confrontation and removing the non-buildings, the buildings can be extracted. At last the extraction result will be verified using the information of the building shadow, the area of building roof, altitude information and other prior knowledge, in order to improve the accuracy of building extraction in the aerial image. Moreover, the method proposed is test in our experiment using the true-color aerial image. Theoretical analysis and experimental results show building can be extracted effectively by means of the algorithm proposed and it is necessary to research deeply.