Algorithms

Unmixing and vegetation removal from multi/hyper-spectral imagery

Spectral unmixing can effectively derive the abundance of sub-pixel components in multispectral imagery. Covering materials such as vegetation can then be removed on a pixel by pixel basis to reveal underlying surfaces in both unmixed abundance and waveband images.

Read More:

Bierwirth, P. N. (1990). Mineral mapping and vegetation removal via data-calibrated pixel unmixing, using multispectral images. International Journal of Remote Sensing. 11(11), pp1999-2017.

SWIM algorithm for derivation of substrate hue and water depths.

The SWIM algorithm was designed to derive substrate colour information in shallow marine environments utilising visible spectral imagery. This is achieved by first deriving bathymetry (water depths) and removing this effect on image contrast.

Read More:

Bierwirth, P. N., Lee, T., Burne, R. V. (1992) Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Proceedings of the First Thematic Conference, Remote Sensing for Marine and Coastal Environments, New Orleans.

Bierwirth, P. N., Lee, T., Burne, R. V. (1993) Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Photogrammetric Engineering and Remote Sensing, 59, (3), pp331-338.

Coastal and Marine Remote Sensing algorithms and examples

Coastal and Marine Remote Sensing Project for Geoscience Australia