2400 - Discuss advantages and disadvantages of different methods of storing remote sensing data

Discuss advantages and disadvantages of different methods of storing remote sensing data

Concepts

  • [PS3-3-1] Band interleaved by line (BIL)
    Band interleaved by line (BIL) is one of three primary methods for encoding image data for multiband raster images in the geospatial domain, such as images obtained from satellites. BIL is not in itself an image format, but is a scheme for storing the actual pixel values of an image in a file band by band for each line, or row, of the image. For example, given a three-band image, all three bands of data are written for row one, all three bands of data are written for row two, and so on. The BIL encoding is a compromise format, allowing fairly easy access to both spatial and spectral information. The BIL data organization can handle any number of bands, and thus accommodates black and white, grayscale, pseudocolor, true color, and multi-spectral image data.
  • [PS3-3-2] Band interleaved by pixel (BIP)
    Band interleaved by pixel (BIP) is one of three primary methods for encoding image data for multiband raster images in the geospatial domain, such as images obtained from satellites. BIP is not in itself an image format, but is a method for encoding the actual pixel values of an image in a file. Images stored in BIP format have the first pixel for all bands in sequential order, followed by the second pixel for all bands, followed by the third pixel for all bands, etc., interleaved up to the number of pixels. The BIP data organization can handle any number of bands, and thus accommodates black and white, grayscale, pseudocolor, true color, and multi-spectral image data.
  • [PS3-3-3] Band sequential (BSQ)
    A binary raster file format for aerial photography, satellite imagery, and spectral data. The BSQ data organization can handle any number of bands, and thus accommodates black and white, grayscale, pseudocolor, true color, and multi-spectral image data. Additional information is needed to interpret the image data, such as the numbers of rows, columns, and bands, if there is a color map, and latitude and longitude to relate the image to geospatial locations.