Enum Class RGBRenderer.PansharpenType

java.lang.Object
java.lang.Enum<RGBRenderer.PansharpenType>
com.esri.arcgisruntime.raster.RGBRenderer.PansharpenType
All Implemented Interfaces:
Serializable, Comparable<RGBRenderer.PansharpenType>, Constable
Enclosing class:
RGBRenderer

public static enum RGBRenderer.PansharpenType extends Enum<RGBRenderer.PansharpenType>
Panchromatic sharpening uses a higher-resolution panchromatic image (or raster band) to fuse with a lower-resolution multiband raster dataset. The result produces a multiband raster dataset with the resolution of the panchromatic raster where the two rasters fully overlap.

Several image companies provide low-resolution, multiband images and higher-resolution, panchromatic images of the same scenes. Panchromatic sharpening is used to increase the spatial resolution and provide a better visualization of a multiband image using the high-resolution, single-band image.

Since:
100.0.0
  • Nested Class Summary

    Nested classes/interfaces inherited from class java.lang.Enum

    Enum.EnumDesc<E extends Enum<E>>
  • Enum Constant Summary

    Enum Constants
    Enum Constant
    Description
    The Brovey transformation is based on spectral modeling and was developed to increase the visual contrast in the high and low ends of the data's histogram.
    The Esri pan-sharpening transformation uses a weighted average and the additional near-infrared band (optional) to create its pan-sharpened output bands.
    The Gram-Schmidt pan-sharpening method is based on a general algorithm for vector orthogonalization — the Gram-Schmidt orthogonalization.
    The IHS pan-sharpening method converts the multispectral image from RGB to intensity, hue, and saturation.
    The simple mean transformation method applies a simple mean averaging equation to each of the output band combinations.
    None.
  • Method Summary

    Modifier and Type
    Method
    Description
    Returns the enum constant of this class with the specified name.
    Returns an array containing the constants of this enum class, in the order they are declared.

    Methods inherited from class java.lang.Object

    getClass, notify, notifyAll, wait, wait, wait
  • Enum Constant Details

    • NONE

      public static final RGBRenderer.PansharpenType NONE
      None.
      Since:
      100.0.0
    • IHS

      public static final RGBRenderer.PansharpenType IHS
      The IHS pan-sharpening method converts the multispectral image from RGB to intensity, hue, and saturation. The low-resolution intensity is replaced with the high-resolution panchromatic image. If the multispectral image contains an infrared band, it is taken into account by subtracting it using a weighting factor. The equation used to derive the altered intensity value is as follows: Intensity = P - I * IW

      Then the image is back-transformed from IHS to RGB in the higher resolution.

      Since:
      100.0.0
    • BROVEY

      public static final RGBRenderer.PansharpenType BROVEY
      The Brovey transformation is based on spectral modeling and was developed to increase the visual contrast in the high and low ends of the data's histogram. It uses a method that multiplies each resampled, multispectral pixel by the ratio of the corresponding panchromatic pixel intensity to the sum of all the multispectral intensities. It assumes that the spectral range spanned by the panchromatic image is the same as that covered by the multispectral channels.

      In the Brovey transformation, the general equation uses red, green, and blue (RGB) and the panchromatic bands as inputs to output new red, green, and blue bands.

      Since:
      100.0.0
    • MEAN

      public static final RGBRenderer.PansharpenType MEAN
      The simple mean transformation method applies a simple mean averaging equation to each of the output band combinations.
      Since:
      100.0.0
    • ESRI

      public static final RGBRenderer.PansharpenType ESRI
      The Esri pan-sharpening transformation uses a weighted average and the additional near-infrared band (optional) to create its pan-sharpened output bands. The result of the weighted average is used to create an adjustment value (ADJ) that is then used in calculating the output values.

      The weights for the multispectral bands depend on the overlap of the spectral sensitivity curves of the multispectral bands with the panchromatic band. The weights are relative and will be normalized when they are used. The multispectral band with the largest overlap with the panchromatic band should get the largest weight. A multispectral band that does not overlap at all with the panchromatic band should get a weight of 0. By changing the near-infrared weight value, the green output can be made more or less vibrant.

      Since:
      100.0.0
    • GRAM_SCHMIDT

      public static final RGBRenderer.PansharpenType GRAM_SCHMIDT
      The Gram-Schmidt pan-sharpening method is based on a general algorithm for vector orthogonalization — the Gram-Schmidt orthogonalization. This algorithm takes in vectors (for example, 3 vectors in 3D space) that are not orthogonal, and then rotates them so that they are orthogonal afterward. In the case of images, each band (panchromatic, red, green, blue, and infrared) corresponds to one high-dimensional vector (#dimensions = #pixels).

      In the IHS pan-sharpening method, the multispectral bands are decorrelated by transforming them into IHS space. The low-resolution intensity band gets replaced by the high-resolution pan band, and the result is back-transformed in high resolution to get the high-resolution multispectral (MS) bands.

      In the Gram-Schmidt pan-sharpening method, the first step is to create a low-resolution pan band by computing a weighted average of the MS bands. Next, these bands are decorrelated using the Gram-Schmidt orthogonalization algorithm, treating each band as one multidimensional vector. The simulated low-resolution pan band is used as the first vector; which is not rotated or transformed. The low-resolution pan band is then replaced by the high-resolution pan band, and all bands are back-transformed in high resolution.

      Some suggested weights for common sensors are (order: red, green, blue, infrared) as follows:

      • GeoEye—0.6, 0.85, 0.75, 0.3
      • IKONOS—0.85, 0.65, 0.35, 0.9
      • QuickBird—0.85, 0.7, 0.35, 1.0
      • WorldView-2—0.95, 0.7, 0.5, 1.0
      Since:
      100.0.0
  • Method Details

    • values

      public static RGBRenderer.PansharpenType[] values()
      Returns an array containing the constants of this enum class, in the order they are declared.
      Returns:
      an array containing the constants of this enum class, in the order they are declared
    • valueOf

      public static RGBRenderer.PansharpenType valueOf(String name)
      Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum class has no constant with the specified name
      NullPointerException - if the argument is null