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Band rendering

The imagery data that can be ingested in gIQ, referring to panchromatic, multispectral, hyperspectral and SAR imagery can have a single band, or layer (a measure of a single characteristic) while others can have multiple bands. A band is represented by a single matrix of pixel values, and a raster with multiple bands contains multiple spatially coincident matrices of pixel values representing the same spatial area. Majority of satellite and airborne imagery have multiple bands, typically containing values within a range or band of the electromagnetic spectrum.

There are three main ways to render single-band raster datasets:

  • As two colors: in a binary image, each pixel has a value of 0 or 1 and is often displayed using black and white.
  • Grayscale: in a grayscale image, each pixel has a value from 0 to another number depending on data type, or pixel depth, such as 255 (8 bit) or 65,535 (integer). This display type is often used for panchromatic satellite images or aerial images.
  • Color map: with a color map, a set of values is coded to match a defined set of red, green, and blue (RGB) values. The defined set RGB values can be individually changed.

1. To start the band-rendering process​

Select the desired image from exploration or your workspace & make it visible

Step 1 screenshot

2. In top left corner click on properties & click on Bands Rendering.​

Step 2 screenshot

3. Select the Bands Rendering type​

In this example we are using a Multispectral image with a total of 4 bands. You can choose Multiband/ Singleband grey/ Singleband Pseudocolor

Step 3 screenshot

4. First option is to select Multiband​

A histogram with the different color values will open. You can fill in the values for Red, Green, Blue and Alpha channel.

Step 4 screenshot

5. For each band you can change the value​

You can choose from: None, Red, Green, Blue and NIR.

Step 5 screenshot

6. You can choose underneath the histogram from 3 buttons:​

  1. Load current view port histogram
  2. 95%
  3. Sharpen

Step 6 screenshot

7. The individual bands can also be set manually​

Either changing the min-max values or the slider for each channel. NoData Value can be applied

Step 7 screenshot

8. After the bands are set click on "Apply"​

Step 8 screenshot

9. Check the output layer​

The values can be checked in the histogram

Step 9 screenshot

10. Same actions can be applied for Singleband Gray​

The layer will be displayed in WhiteBlack values

Step 10 screenshot

11. The values can be customized as desired.​

In this example 95% is applied. After ready click on apply

Step 11 screenshot

12. Check the output layer​

The values can be checked in the histogram

Step 12 screenshot

13. Click on Singleband Pseudocolor​

A menu is displayed with the different color ramps

Step 13 screenshot

14. In this example Turbo has been selected​

Step 14 screenshot

15. The layer can be either customized by using the different buttons or manually adapted​

After the settings are set click on "Apply"

Step 15 screenshot

16. Check the output layer​

Individual changes can be made, like sharpen the image. To save the settings click on "Apply"

Step 16 screenshot

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