文件名称:
ISPRS Test Project on Urban Classification and 3D
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上传时间: 2011-06-16
详细说明： The automated extraction of urban objects from data acquired by airborne sensors has been an important topic of research in photogrammetry for at least two decades. One observation that can be made is that most of the papers dealing with urban object extraction focus on a single object class, e.g. buildings, roads or, less frequently, trees. Typically, results are published for a few test sites available to the authors. Results presented by different authors typically refer to different scenes so that the quality of the results achieved using different algorithms cannot really be compared. There have been attempts in the past to distribute data sets for benchmarking object extraction techniques, e.g. the Avenches data set of ETH Zurich or OEEPE/EuroSDR data sets for building extraction or road extraction. Even if these data sets were still available, they would be outdated due to the fact that they are based on scanned aerial images acquired by analog cameras. Today, the transition to digital aerial cameras has nearly been completed, so that there is a need for new standard test sites for urban object extraction making use of the full benefits of modern airborne data, including multiple-overlap geometry, increased radiometric and spectral resolution, and (in the case of airborne laserscanner data) the recording of multiple echoes. Two such test sites, each containing several test areas for which reference data are available, are provided for the participants in this project in order to evaluate techniques for the extraction of various urban object classes. The test data are described in detail in Section 2 of this document. ...展开收缩
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