【GDAL】聊聊GDAL的数据模型(二)——Band对象

在GDAL中栅格数据直接参与各种计算的重要对象是Band

摘录官方描述：

Raster Band

A raster band is represented in GDAL with the GDALRasterBand class. It represents a single raster band/channel/layer. It does not necessarily represent a whole image. For instance, a 24bit RGB image would normally be represented as a dataset with three bands, one for red, one for green and one for blue.

Gdal 中数据以Dataset为基础，具体的栅格数据值被存储在这个Dataset的Band对象之中，一个Dataset可以存储多个Band对象。例如RGB色彩模型的图象，在GDAL的数据模型中被认为是一个拥有3个波段（分别对应RGB）的Dataset。

A raster band has the following properties:

• A width and height in pixels and lines. This is the same as that defined for the dataset, if this is a full resolution band.

   该值在C#中通过Band.XSize, Band.YSize获取

• A datatype (GDALDataType). One of Byte, UInt16, Int16, UInt32, Int32, Float32, Float64, and the complex types CInt16, CInt32, CFloat32, and CFloat64.

   

• A block size. This is a preferred (efficient) access chunk size. For tiled images this will be one tile. For scanline oriented images this will normally be one scanline.

   

• A list of name/value pair metadata in the same format as the dataset, but of information that is potentially specific to this band.

   实际上是以String[]方式存储的(这是C/C++程序员的习惯做法)，猜测该matadata即是Dataset中获取的metadata内容一致，且不全面。

• An optional description string.

   

• An optional single nodata pixel value (see also NODATA_VALUES metadata on the dataset for multi-band style nodata values).

  在C#中Nodata是对band而言的，理论上如果一个Dataset包含多个Band对象，这些Band对象的Nodata值是不能保证一致的。所以需要分别获取。另外需要注意的一点是，在创建要写入数据的Dataset时，为其Band指定Nodata需要考虑这个数据本身的有效值范围和DataType，设置合适的值。 

• An optional nodata mask band marking pixels as nodata or in some cases transparency as discussed in RFC 15: Band Masks.

   

• An optional list of category names (effectively class names in a thematic image).

   

• An optional minimum and maximum value.

   该值用于获取Band中数据的最大最小统计值，不过测试了下偶尔会出现统计值不正确的情况，建议自己写方法来处理。

• An optional offset and scale for transforming raster values into meaning full values (i.e. translate height to meters).

   

• An optional raster unit name. For instance, this might indicate linear units for elevation data.

   

• A color interpretation for the band. This is one of:

  • GCI_Undefined: the default, nothing is known.
  • GCI_GrayIndex: this is an independent gray-scale image
  • GCI_PaletteIndex: this raster acts as an index into a color table
  • GCI_RedBand: this raster is the red portion of an RGB or RGBA image
  • GCI_GreenBand: this raster is the green portion of an RGB or RGBA image
  • GCI_BlueBand: this raster is the blue portion of an RGB or RGBA image
  • GCI_AlphaBand: this raster is the alpha portion of an RGBA image
  • GCI_HueBand: this raster is the hue of an HLS image
  • GCI_SaturationBand: this raster is the saturation of an HLS image
  • GCI_LightnessBand: this raster is the hue of an HLS image
  • GCI_CyanBand: this band is the cyan portion of a CMY or CMYK image
  • GCI_MagentaBand: this band is the magenta portion of a CMY or CMYK image
  • GCI_YellowBand: this band is the yellow portion of a CMY or CMYK image
  • GCI_BlackBand: this band is the black portion of a CMYK image.

   

• A color table, described in more detail later.

   

• Knowledge of reduced resolution overviews (pyramids) if available.

其实在真正使用中，比较重要的无非是数据的nodata、xSize、ySize等等，投影等信息由Dataset获取。用于应付一般情况下的简单计算问题不大。

下一篇将详细解释一个常规的数据读取和处理的流程。