S. Aksoy, B. Ozdemir, S. Eckert, F. Kayitakire, M. Pesarasi, O. Aytekin, C. Borel, J. Čech, E. Christophe, S. Duzgun, A. Erener, K. Ertugay, Elima Hussain, J. Inglada, S. Lefèvre, O. Ok, D. K. San, R. Sára, J. Shan, J. Soman, I. Ulusoy, R. Witz
{"title":"建筑检测和数字表面模型提取算法的性能评估:PRRS 2008算法性能竞赛结果","authors":"S. Aksoy, B. Ozdemir, S. Eckert, F. Kayitakire, M. Pesarasi, O. Aytekin, C. Borel, J. Čech, E. Christophe, S. Duzgun, A. Erener, K. Ertugay, Elima Hussain, J. Inglada, S. Lefèvre, O. Ok, D. K. San, R. Sára, J. Shan, J. Soman, I. Ulusoy, R. Witz","doi":"10.1109/PRRS.2008.4783173","DOIUrl":null,"url":null,"abstract":"This paper presents the initial results of the algorithm performance contest that was organized as part of the 5th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). The focus of the 2008 contest was automatic building detection and digital surface model (DSM) extraction. A QuickBird data set with manual ground truth was used for building detection evaluation, and a stereo Ikonos data set with a highly accurate reference DSM was used for DSM extraction evaluation. Nine submissions were received for the building detection task, and three submissions were received for the DSM extraction task. We provide an overview of the data sets, the summaries of the methods used for the submissions, the details of the evaluation criteria, and the results of the initial evaluation.","PeriodicalId":315798,"journal":{"name":"2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest\",\"authors\":\"S. Aksoy, B. Ozdemir, S. Eckert, F. Kayitakire, M. Pesarasi, O. Aytekin, C. Borel, J. Čech, E. Christophe, S. Duzgun, A. Erener, K. Ertugay, Elima Hussain, J. Inglada, S. Lefèvre, O. Ok, D. K. San, R. Sára, J. Shan, J. Soman, I. Ulusoy, R. Witz\",\"doi\":\"10.1109/PRRS.2008.4783173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the initial results of the algorithm performance contest that was organized as part of the 5th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). The focus of the 2008 contest was automatic building detection and digital surface model (DSM) extraction. A QuickBird data set with manual ground truth was used for building detection evaluation, and a stereo Ikonos data set with a highly accurate reference DSM was used for DSM extraction evaluation. Nine submissions were received for the building detection task, and three submissions were received for the DSM extraction task. We provide an overview of the data sets, the summaries of the methods used for the submissions, the details of the evaluation criteria, and the results of the initial evaluation.\",\"PeriodicalId\":315798,\"journal\":{\"name\":\"2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRRS.2008.4783173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRRS.2008.4783173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest
This paper presents the initial results of the algorithm performance contest that was organized as part of the 5th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). The focus of the 2008 contest was automatic building detection and digital surface model (DSM) extraction. A QuickBird data set with manual ground truth was used for building detection evaluation, and a stereo Ikonos data set with a highly accurate reference DSM was used for DSM extraction evaluation. Nine submissions were received for the building detection task, and three submissions were received for the DSM extraction task. We provide an overview of the data sets, the summaries of the methods used for the submissions, the details of the evaluation criteria, and the results of the initial evaluation.