zoukankan      html  css  js  c++  java
  • arcengine栅格数据使用总结

    http://my.poco.cn/space/blog/blog_details.htx&blog_id=4459638

    arcengine栅格数据使用总结
    两个星期以来一直与栅格数据打交道,对AO的栅格部分应该有了一定的理解,下面是自己的一点体会,希望高手指教:-)
    1、栅格数据的存储类型
    栅格数据一般可以存储为ESRI GRID(由一系列文件组成),TIFF格式(包括一个TIF文件和一个AUX文件),IMAGINE Image格式 在AE中一般调用ISaveAs接口来保存栅格数据
    2、栅格数据集和栅格编目的区别
    一个栅格数据集由一个或者多个波段(RasterBand)的数据组成,一个波段就是一个数据矩阵。对于格网数据(DEM数据)和单波段的影像数据,表现为仅仅只有一个波段数据的栅格数据集,而对于多光谱影像数据则表现为具有多个波段的栅格数据集
    栅格编目(RasterCatalog)用于显示某个研究区域内各种相邻的栅格数据,这些相邻的栅格数据没有经过拼接处理合成一副大的影像图
    3、IRasterWorkspaceEx与IRasterWorkspace ,IRsterWorkspace2的区别
    1).IRasteWorkspaceEx接口主要是用来读取GeoDatabase中的栅格数据集和栅格编目
    2) . IRasterWorkspace ,IRsterWorkspace2主要是用来读取以文件格式存储在本地的栅格数据
    4、加载栅格数据(以存储在本地的栅格数据文件为例)
    1.直接用IRasterLayer接口打开一个栅格文件并加载到地图控件
    IRasterLayer rasterLayer = new RasterLayerClass();
    rasterLayer.CreateFromFilePath(fileName); // fileName指存本地的栅格文件路径
    axMapControl1.AddLayer(rasterLayer, 0);
    2. 用IRasterDataset接口打开一个栅格数据集
    IWorkspaceFactory workspaceFactory = new RasterWorkspaceFactory();
    IWorkspace workspace;
    workspace = workspaceFactory.OpenFromFile(inPath, 0); //inPath栅格数据存储路径
    if (workspace == null)
    {
    Console.WriteLine('Could not open the workspace.');
    return;
    }
    IRasterWorkspace rastWork = (IRasterWorkspace)workspace;
    IRasterDataset rastDataset;
    rastDataset= rastWork.OpenRasterDataset(inName);//inName栅格文件名
    if (rastDataset == null)
    {
    Console.WriteLine('Could not open the raster dataset.');
    return;
    }
    5、如何读取栅格数据的属性和遍历栅格数据
    栅格数据的属性包括栅格大小,行数,列数,投影信息,栅格范围等等,见下面代码
    (假设当前加载的栅格文件栅格值存储方式为:UShort类型)
    IRasterProps rasterProps = (IRasterProps)clipRaster;
    int dHeight = rasterProps.Height;//当前栅格数据集的行数
    int dWidth = rasterProps.Width; //当前栅格数据集的列数
    double dX = rasterProps.MeanCellSize().X; //栅格的宽度
    double dY = rasterProps.MeanCellSize().Y; //栅格的高度
    IEnvelope extent=rasterProps.Extent; //当前栅格数据集的范围
    rstPixelType pixelType=rasterProps.PixelType; //当前栅格像素类型
    IPnt pntSize = new PntClass();
    pntSize.SetCoords(dX, dY);
    IPixelBlock pixelBlock = clipRaster.CreatePixelBlock(pntSize);
    IPnt pnt = new PntClass();
    for (int i = 0; i < dHeight; i++)
    for (int j = 0; j < dWidth; j++)
    {
    pnt.SetCoords(i, j);
    clipRaster.Read(pnt, pixelBlock);
    if (pixelBlock != null)
    {
    object obj = pixelBlock.GetVal(0, 0, 0);
    MessageBox.Show( Convert.ToUInt32(obj).ToString());
    }
    }
    6、如何提取指定的范围的栅格数据
    提取指定范围内的栅格数据通常用两种方法IRasterLayerExport(esriCarto), IExtractionOp, IExtractionOp2 ([url=]esriSpatialAnalyst[/url]),IRasterLayerExport接口提供的栅格数据提取功能有限,只能以矩形范围作为提取范围,而IExtractionOp接口提供了多边形,圆,属性,矩形等几种形式作为提取栅格数据.
    1).IRasterLayerExport接口
    IRasterLayerExport rLayerExport = new RasterLayerExportClass();
    rLayerExport.RasterLayer = rasterLayer;// rasterLayer指当前加载的栅格图层
    rLayerExport.Extent = clipExtent;//clipExtent指提取栅格数据的范围
    if (proSpatialRef != null)
    rLayerExport.SpatialReference = proSpatialRef;// proSpatialRef当前栅格数据的投影信息
    IWorkspaceFactory pWF = new RasterWorkspaceFactoryClass();
    try
    {
    IWorkspace pRasterWorkspace = pWF.OpenFromFile(_folder, 0);// _folder指栅格文件保存路径
    IRasterDataset outGeoDataset = rLayerExport.Export(pRasterWorkspace, code, strRasterType);
    //调用ISaveAs接口将导出的数据集保存
    ……………………..
    }
    Catch(Exception ex)
    {
    Throw new Argumention(ex.Message);
    }
    2.IExtractionOp接口(调用此接口前,应该先检查空间许可)
    IExtractionOp extraction = new RasterExtractionOpClass();
    try
    {
    IGeoDataset geoDataset = extraction.Rectangle((IGeoDataset)clipRaster, clipExtent, true);
    IRaster raster = geoDataset as IRaster;
    if (raster != null)
    {
    IWorkspaceFactory WF = new RasterWorkspaceFactoryClass();
    IWorkspace rasterWorkspace = WF.OpenFromFile(_folder, 0);
    ISaveAs saveAs = (ISaveAs)raster;
    saveAs.SaveAs(“Result.tif”, rasterWorkspace, 'TIFF');
    }
    }
    catch (Exception ex)
    {
    MessageBox..Show(Ex.message);
    }
    7.栅格数据重采样
    栅格数据的重采样主要基于三种方法:最邻近采样(NEAREST),双线性
    ILINEAR)和三次卷积采样(CUBIC)。
    (1).最邻近采样:它用输入栅格数据中最临近栅格值作为输出值。因此,在重采
    样后的输出栅格中的每个栅格值, 都是输入栅格数据中真实存在而未加任何改变的值。这种方法简单易用,计算量小,重采样的速度最快。
    (2).双线性采样:此重采样法取待采样点(x,y)点周围四个邻点,在y方向(或X方向)内插两次,再在x方向(或y方向)内插一次,得到(x,y)点的栅格值。
    (3).三次卷积采样:这是进一步提高内插精度的一种方法。它的基本思想是增加邻点来获
    得最佳插值函数。取待计算点周围相邻的16个点,与双线性采样类似,可先在某一方向上内插,如先在x方向上,每四个值依次内插四次,再根据四次的计算结果在y方上内插,最终得到内插结果
    代码示例:采用双线性采样
    IRasterGeometryProc rasterGeometryProc = new RasterGeometryProcClass();
    rasterGeometryProc.Resample(rstResamplingTypes.RSP_CubicConvolution, newCellSize, clipRaster);

    Tag标签: 栅格数据 ArcEngine
    标签:栅格 重分类 分类:AE二次开发

    public static IRasterLayer SetViewShedRenderer(IRaster pInRaster,string sField,string sPath)
    {

    IRasterDescriptor pRD = new RasterDescriptorClass();
    pRD.Create(pInRaster, new QueryFilterClass(), sField);
    IReclassOp pReclassOp = new RasterReclassOpClass();
    IGeoDataset pGeodataset=pInRaster as IGeoDataset;
    IRasterAnalysisEnvironment pEnv = pReclassOp as IRasterAnalysisEnvironment;
    IWorkspaceFactory pWSF=new RasterWorkspaceFactoryClass();
    IWorkspace pWS = pWSF.OpenFromFile(sPath, 0);
    pEnv.OutWorkspace = pWS;
    object objSnap = null;
    object objExtent = pGeodataset.Extent;
    pEnv.SetExtent(esriRasterEnvSettingEnum.esriRasterEnvValue, ref objExtent, ref objSnap);
    pEnv.OutSpatialReference = pGeodataset.SpatialReference;
    IRasterLayer pRLayer = new RasterLayerClass();
    IRasterBandCollection pRsBandCol = pGeodataset as IRasterBandCollection;
    IRasterBand pRasterBand = pRsBandCol.Item(0);
    pRasterBand.ComputeStatsAndHist();
    IRasterStatistics pRasterStatistic = pRasterBand.Statistics;
    double dMaxValue = pRasterStatistic.Maximum ;
    double dMinValue = pRasterStatistic.Minimum ;

    INumberRemap pNumRemap = new NumberRemapClass();
    pNumRemap.MapRange(dMinValue, 0, 0);
    pNumRemap.MapRange(0, dMaxValue, 1);
    IRemap pRemap = pNumRemap as IRemap;

    IRaster pOutRaster = pReclassOp.ReclassByRemap(pGeodataset, pRemap, false) as IRaster ;
    pRLayer.CreateFromRaster(pOutRaster);

    return pRLayer;

    }




    栅格图层和矢量图层的属性表浏览
    if (pLyr is IFeatureLayer)
    {
    DataTable pTable = new DataTable();
    IFeatureLayer pFealyr = pLyr as IFeatureLayer;
    IFeatureClass pFCls = pFealyr.FeatureClass;
    string shape = '';
    if (pFCls.ShapeType == esriGeometryType.esriGeometryPoint)
    shape = 'Point';
    else if (pFCls.ShapeType == esriGeometryType.esriGeometryPolyline)
    shape = 'Polyline';
    else if (pFCls.ShapeType == esriGeometryType.esriGeometryPolygon)
    shape = 'Polygon';

    for (int i = 0; i < pFCls.Fields.FieldCount; i++)
    {
    pTable.Columns.Add(pFCls.Fields.get_Field(i).Name);
    }
    IFeatureCursor pCursor = pFCls.Search(null, false);
    int ishape = pFCls.Fields.FindField('Shape');
    IFeature pFea = pCursor.NextFeature();
    while (pFea != null)
    {
    DataRow pRow = pTable.NewRow();
    for (int i = 0; i < pFCls.Fields.FieldCount; i++)
    {
    if (i == ishape)
    {
    pRow = shape;
    continue;
    }
    pRow = pFea.get_Value(i).ToString();
    }
    pTable.Rows.Add(pRow);
    pFea = pCursor.NextFeature();
    }
    dataGridView1.DataSource = pTable;
    }
    else if (pLyr is IRasterLayer)
    {
    IRasterLayer pRlyr = pLyr as IRasterLayer;
    IRaster pRaster = pRlyr.Raster;
    IRasterProps pProp = pRaster as IRasterProps;
    pProp.PixelType = rstPixelType.PT_LONG;
    if (pProp.PixelType == rstPixelType.PT_LONG)
    {
    IRasterBandCollection pBcol = pRaster as IRasterBandCollection;
    IRasterBand pBand = pBcol.Item(0);
    ITable pRTable = pBand.AttributeTable;

    DataTable pTable = new DataTable();
    for (int i = 0; i < pRTable.Fields.FieldCount; i++)
    pTable.Columns.Add(pRTable.Fields.get_Field(i).Name);


    ICursor pCursor= pRTable.Search(null, false);
    IRow pRrow= pCursor.NextRow();
    while (pRrow != null)
    {
    DataRow pRow = pTable.NewRow();
    for (int i =0 ;i<pRrow .Fields .FieldCount ;i++)
    {
    pRow = pRrow.get_Value(i).ToString () ;
    }
    pTable.Rows.Add(pRow);
    pRrow = pCursor.NextRow();
    }
    dataGridView1.DataSource = pTable;
    }

    }



    IRasterWorkspace2 IRasterDataset CreateRasterDataset C#



    public IRasterDataset CreateFileRasterDataset(string directoryName, string fileName)
    {
    // This function creates a new img file in the given workspace
    // and then assigns pixel values
    try
    {
    IRasterDataset rasterDataset = null;
    IPoint originPoint = new PointClass();
    originPoint.PutCoords(0, 0);

    // Create the dataset
    IRasterWorkspace2 rasterWorkspace2 = null;
    rasterWorkspace2 = CreateRasterWorkspace(directoryName);

    rasterDataset = rasterWorkspace2.CreateRasterDataset(fileName, 'IMAGINE Image', originPoint, 200, 100, 1, 1, 1, rstPixelType.PT_UCHAR, new UnknownCoordinateSystemClass(), true);

    IRawPixels rawPixels = null;
    IPixelBlock3 pixelBlock3 = null;
    IPnt pixelBlockOrigin = null;
    IPnt pixelBlockSize = null;
    IRasterBandCollection rasterBandCollection;
    IRasterProps rasterProps;



    // QI for IRawPixels and IRasterProps
    rasterBandCollection = (IRasterBandCollection)rasterDataset;
    rawPixels = (IRawPixels)rasterBandCollection.Item(0);
    rasterProps = (IRasterProps)rawPixels;



    // Create pixelblock
    pixelBlockOrigin = new DblPntClass();
    pixelBlockOrigin.SetCoords(0, 0);

    pixelBlockSize = new DblPntClass();
    pixelBlockSize.SetCoords(rasterProps.Width, rasterProps.Height);

    pixelBlock3 = (IPixelBlock3)rawPixels.CreatePixelBlock(pixelBlockSize);



    // Read pixelblock
    rawPixels.Read(pixelBlockOrigin, (IPixelBlock)pixelBlock3);

    // Get pixeldata array
    System.Object[,] pixelData;
    pixelData = (System.Object[,])pixelBlock3.get_PixelDataByRef(0);

    // Loop through all the pixels and assign value
    for (int i = 0; i < rasterProps.Width; i++)
    for (int j = 0; j < rasterProps.Height; j++)
    pixelData[i, j] = (i * j) % 255;



    // Write the pixeldata back
    System.Object cachePointer;

    cachePointer = rawPixels.AcquireCache();

    rawPixels.Write(pixelBlockOrigin, (IPixelBlock)pixelBlock3);

    rawPixels.ReturnCache(cachePointer);

    // Return raster dataset
    return rasterDataset;
    }
    catch (Exception ex)
    {
    System.Diagnostics.Debug.WriteLine(ex.Message);
    return null;
    }
    }



    public IRasterWorkspace2 CreateRasterWorkspace(string pathName)
    {
    // Create RasterWorkspace
    IWorkspaceFactory workspaceFactory = new RasterWorkspaceFactoryClass();

    return workspaceFactory.OpenFromFile(pathName, 0) as IRasterWorkspace2;
    }





    #4楼[楼主] 2009-02-09 15:38 | 尤文之鹤
    public IRasterDataset tin2raster(string tempBathyTIN,string geoPath, string gridName)
    {
    string tinFolder = System.IO.Path.GetDirectoryName(tempBathyTIN);
    string tinName = System.IO.Path.GetFileName(tempBathyTIN);
    IRasterDataset rasterDataset = new RasterDatasetClass();
    try
    {
    string rasterPath = System.IO.Path.GetDirectoryName(geoPath);
    IWorkspaceFactory TinWF = new TinWorkspaceFactory();
    ITinWorkspace TinWK = TinWF.OpenFromFile(tinFolder,0)as ITinWorkspace;
    ITinAdvanced2 tinAd = TinWK.OpenTin(tinName) as ITinAdvanced2;
    IEnvelope extent = tinAd.Extent;
    IPoint origin = extent.LowerLeft;
    origin.X = origin.X - (5 * 0.5);
    origin.Y = origin.Y - (5 * 0.5);
    int nCol = (int)Math.Round(extent.Width / 5) + 1;
    int nRow = (int)Math.Round(extent.Height / 5) +1;

    ISpatialReference2 spatialRef = (ISpatialReference2)extent.SpatialReference;

    IWorkspaceFactory rasterWF = new RasterWorkspaceFactoryClass();
    IRasterWorkspace2 workSpace = (IRasterWorkspace2)rasterWF.OpenFromFile(rasterPath,0);

    rasterDataset = workSpace.CreateRasterDataset(gridName, 'GRID', origin,nCol,nRow,5,5,1,ESRI.ArcGIS.Geodatabase.rstPixelType.PT_FLOAT, spatialRef,true);


    IRasterBandCollection bandColl = (IRasterBandCollection) rasterDataset;
    IRasterBand rasterBand = bandColl.Item(0);
    IRawPixels rawPixels = (IRawPixels)rasterBand;
    IPnt blockSize = new DblPntClass();
    blockSize.X = nCol;
    blockSize.Y = nRow;
    IPixelBlock3 pixelBlock = (IPixelBlock3)rawPixels.CreatePixelBlock(blockSize);
    ITinSurface tinSurface = (ITinSurface)tinAd;
    IRasterProps rasterProps = (IRasterProps)rawPixels;
    object nodataFloat;
    //long nodataInt;
    object val = pixelBlock.get_PixelDataByRef(0);
    MessageBox.Show(val.ToString());
    double cellsize = 5;
    origin.X = origin.X + (5 * 0.5);
    origin.Y = origin.Y + (5 * nRow) - (5 * 0.5);

    nodataFloat = Convert.ToDouble(rasterProps.NoDataValue.ToString());
    tinSurface.QueryPixelBlock(origin.X,origin.Y,cellsize,cellsize,esriRasterizationType.esriElevationAsRaster,nodataFloat,val);
    IPnt offset = new DblPntClass();
    offset.X = 0;
    offset.Y = 0;
    rawPixels.Write(offset,pixelBlock as IPixelBlock);


    }
    catch(Exception ex)
    {
    MessageBox.Show(ex.ToString());

    }
    return rasterDataset;

    }

  • 相关阅读:
    程序运行时被用户删除了工作目录后崩溃
    const引用与非const引用
    NDKr10的各种BUG
    《区块链100问》第64集:区块链分叉是什么?
    《区块链100问》第65集:比特币生孩子了
    《区块链100问》第66集:软分叉和硬分叉是什么?
    《区块链100问》第67集:重放攻击是什么?
    《区块链100问》第68集:硬分叉之以太经典
    《区块链100问》第69集:区块链项目的分类和应用
    《区块链100问》第70集:区块链项目之币类
  • 原文地址:https://www.cnblogs.com/wangzihao/p/1846436.html
Copyright © 2011-2022 走看看