为解决实景三维模型OSGB格式文件碎、数量多,不符合三维模型I3S标准规范,难以形成高效、标准的网络发布方案的问题,本文阐述了I3S标准SLPK三维格式的特点及优势,制定了OSGB格式到SLPK格式的转换流程,基于Python语言和XML.DOM类库对OGSB...为解决实景三维模型OSGB格式文件碎、数量多,不符合三维模型I3S标准规范,难以形成高效、标准的网络发布方案的问题,本文阐述了I3S标准SLPK三维格式的特点及优势,制定了OSGB格式到SLPK格式的转换流程,基于Python语言和XML.DOM类库对OGSB模型的元数据文件解析,自动获取模型空间参考系统和原点坐标,并利用ArcGIS Pro ModelBuilder模型构建器参数化建模,实现三维实景模型自动格式转换,最后以四川某水电工程实景三维模型转换为例对该方法进行试验。试验表明,该方法普适、高效,能够为当前三维实景模型高效率、高准确性格式转换提供一定的经验参考。展开更多
An aerial photographic coverage acquired on two consecutive days in October 2021 with a ground resolution of 20 cm and a spectral resolution of 4 bands (red, green, blue and near infrared), allowed to distinguish most...An aerial photographic coverage acquired on two consecutive days in October 2021 with a ground resolution of 20 cm and a spectral resolution of 4 bands (red, green, blue and near infrared), allowed to distinguish most of the classes of interest present in the intertidal zone of the Sado estuary. We explored the possibilities of thematic classification in the powerful and complex software ArcGIS Pro;we presented the methodology used in a detailed way that allows others with minimal knowledge of GIS to reproduce the classification process without having to decipher the specifics of the software. The classification implemented used ground truth from four classes related to the macro-occupations of the area. In a first phase we explore the standard algorithms with object-based capabilities, like K-Nearest Neighbor, Random Trees Forest and Support Vector Machine, and in a second phase we proceed to test three deep learning classifiers that provide semantic segmentation: a U-Net configuration, a Pyramid Scene Parsing Network and DeepLabV3. The resulting classifications were quantitatively evaluated with a set of 500 control points in a test area of 37,500 × 12,500 pixels, using confusion matrices and resorting to Cohen’s kappa statistic and the concept of global accuracy, achieving a Kappa in the range [0.72, 0.81] and a global accuracy between 88.9% and 92.9%;the option U-Net had the most interesting results. This work establishes a methodology to provide a baseline for assessing future changes in the distribution of Sado estuarine habitats, which can be replicated in other wetland ecosystems for conservation and management purposes.展开更多
文摘为解决实景三维模型OSGB格式文件碎、数量多,不符合三维模型I3S标准规范,难以形成高效、标准的网络发布方案的问题,本文阐述了I3S标准SLPK三维格式的特点及优势,制定了OSGB格式到SLPK格式的转换流程,基于Python语言和XML.DOM类库对OGSB模型的元数据文件解析,自动获取模型空间参考系统和原点坐标,并利用ArcGIS Pro ModelBuilder模型构建器参数化建模,实现三维实景模型自动格式转换,最后以四川某水电工程实景三维模型转换为例对该方法进行试验。试验表明,该方法普适、高效,能够为当前三维实景模型高效率、高准确性格式转换提供一定的经验参考。
文摘An aerial photographic coverage acquired on two consecutive days in October 2021 with a ground resolution of 20 cm and a spectral resolution of 4 bands (red, green, blue and near infrared), allowed to distinguish most of the classes of interest present in the intertidal zone of the Sado estuary. We explored the possibilities of thematic classification in the powerful and complex software ArcGIS Pro;we presented the methodology used in a detailed way that allows others with minimal knowledge of GIS to reproduce the classification process without having to decipher the specifics of the software. The classification implemented used ground truth from four classes related to the macro-occupations of the area. In a first phase we explore the standard algorithms with object-based capabilities, like K-Nearest Neighbor, Random Trees Forest and Support Vector Machine, and in a second phase we proceed to test three deep learning classifiers that provide semantic segmentation: a U-Net configuration, a Pyramid Scene Parsing Network and DeepLabV3. The resulting classifications were quantitatively evaluated with a set of 500 control points in a test area of 37,500 × 12,500 pixels, using confusion matrices and resorting to Cohen’s kappa statistic and the concept of global accuracy, achieving a Kappa in the range [0.72, 0.81] and a global accuracy between 88.9% and 92.9%;the option U-Net had the most interesting results. This work establishes a methodology to provide a baseline for assessing future changes in the distribution of Sado estuarine habitats, which can be replicated in other wetland ecosystems for conservation and management purposes.
