Pacific Spectral Technology is a Honolulu based company specializing in innovative research into Hyperspectral Imagery. With over a decade of experience in the field, Pacific Spectral's research and products are used all over the world.

This site serves as Pacific Spectral's home and as a gateway to the research and products developed by our people. We have also included a hyperspectral technology background to help you understand our field.

Hyperspectral data represents a challenge from a data processing point of view, as it can consist of hundreds of bands. A necessary first step is to reduce the complexity of the image by a dimensionality reduction, which compresses the image data to a few meaningful bands. The most widely used methods for reducing the dimensionality of the data are orthogonal subspace projections and unmixing the image based on a set of component spectra (end-members). Orthogonal subspace projections (OSPs) reduce the dimensionality of the data by finding the combinations of bands that best represent the image in some manner. While OSPs reduce the dimensionality of the image, the resulting images have a mathematical, rather than physical relationship with the original image. The principal advantage of unmixing an image using end-members is that it offers the reduction of the complexity of the data set based on a physical set of component spectra. The resulting images are the abundance of the corresponding end-member for that pixel.