zoukankan      html  css  js  c++  java
  • 打开镶嵌数据集 创建一个镶嵌数据集

    打开镶嵌数据集:

    IMosaicDataset GetMosaicDataset(string pFGDBPath,string pMDame)
                  {
                      IWorkspaceFactory pWorkspaceFactory = new FileGDBWorkspaceFactoryClass();
                      IWorkspace pFgdbWorkspace = pWorkspaceFactory.OpenFromFile(pFGDBPath, 0);
                      
                      IMosaicWorkspaceExtensionHelper pMosaicExentionHelper = new
                          MosaicWorkspaceExtensionHelperClass();
                      
                      IMosaicWorkspaceExtension pMosaicExtention =
    pMosaicExentionHelper.FindExtension(pFgdbWorkspace);
                      
                      return pMosaicExtention.OpenMosaicDataset(pMDame);
     
                  }

    创建一个镶嵌数据集:

      IMosaicDataset CreateMosaicDataset(string pFGDBPath, string pMDame,
    ISpatialReference pSrs )
                  {
     
                    
                      IWorkspaceFactory pWorkspaceFactory = new FileGDBWorkspaceFactory();
     
                      IWorkspace pFgdbWorkspace = pWorkspaceFactory.OpenFromFile(pFGDBPath, 0);
     
                      ICreateMosaicDatasetParameters pCreationPars = new
    CreateMosaicDatasetParametersClass();
                     
                      pCreationPars.BandCount = 3;
                      
                      pCreationPars.PixelType = rstPixelType.PT_UCHAR;
                      
                      IMosaicWorkspaceExtensionHelper pMosaicExentionHelper = new 
    MosaicWorkspaceExtensionHelperClass();
                      
                      IMosaicWorkspaceExtension pMosaicExtention =
    pMosaicExentionHelper.FindExtension(pFgdbWorkspace);
     
                      return pMosaicExtention.CreateMosaicDataset(pMDame, pSrs, pCreationPars,
    "");
     
                  }

  • 相关阅读:
    PCM存储格式 Intel 和 Motorola
    shell 命令行
    机器学习 | 算法笔记- 集成学习(Ensemble Learning)
    基于深度学习的目标检测综述
    机器学习 | 算法笔记- 逻辑斯蒂回归(Logistic Regression)
    机器学习 | 算法笔记- 朴素贝叶斯(Naive Bayesian)
    机器学习 | 算法笔记- 支持向量机(Support Vector Machine)
    机器学习 | 算法笔记- k近邻(KNN)
    机器学习 | 算法笔记- 决策树(Decision Tree)
    机器学习 | 算法笔记- 线性回归(Linear Regression)
  • 原文地址:https://www.cnblogs.com/qiushuixizhao/p/3245005.html
Copyright © 2011-2022 走看看