Band Interleaved by Pixel (BIP)
One of the three basic ways for encoding picture data for multiband raster images in the geographic domain, such as images from satellites, is band interleaved by pixel (BIP). BIP is a technique for recording the actual pixel values of an image in a file, not an image format in and of itself.
The initial pixel for each band is sequentially followed by the second pixel for each band, the third pixel for each band, etc., up to the number of pixels in the image saved in BIP format. Black and white, grayscale, pseudocolor, true color, and multi-spectral image data are all supported by the BIP data structure since it can handle any number of bands.
In order to analyze the picture data and link it to geographical locations, other details are required, such as the number of rows, columns, and bands. This data can be found in files that are attached to a raw image data file or in a file header (common on the tapes that originally held satellite image data).
Band Interleaved by line (BIL)
OIn the geographic sector, such as photos received from satellites, band interleaved by line (BIL) is one of three basic approaches for encoding image data for multiband raster images. BIL is a method for storing an image’s actual pixel values in a file band by band for each picture’s line or row, rather than being an image format in and of itself. For instance, if given a three-band picture, all three bands of data would be written for row one, all three bands for row two, and so on. Access to both spatial and spectral data is quite simple with the BIL encoding, which is a compromise format.
Black and white, grayscale, pseudocolor, true color, and multi-spectral image data are all supported by the BIL data structure since it can handle any number of bands.
In order to analyze the picture data and link it to geographical locations, other details are required, such as the number of rows, columns, and bands. This data can be found in files that are attached to a raw image data file or in a file header (common on the tapes that originally held satellite image data).
Band sequential (BSQ)
The geospatial domain uses multiband raster pictures, such as those collected from satellites, and band sequential (BSQ) is one of three basic ways for encoding image data. BSQ is a way for recording an image’s actual pixel values in a file, not an image format in and of itself. Each line of data in the BSQ format is immediately followed by the following line in the same spectral band, making it a fairly straightforward format. The best way to reach any area of a single spectral band spatially (x,y) is with this format. Black and white, grayscale, pseudocolor, true color, and multispectral image data may all be accommodated by the BSQ data structure since it can support any number of bands.
