Most satellite image processing algorithms are simple mathematical
operations that can be applied to imagery. While
straightforward to produce and apply, they don't always result in
the best performance or the best solution. Our approach is different.
What sets Applied Analysis Inc. apart is our phenomenological approach
to algorithm development. We consider the chemical and physical
properties of materials and how they affect the spectral absorption
features of the reflected radiance. Then, taking into consideration
the absorption and scattering properties of the atmosphere, we craft
algorithms best suited to the characteristics of the radiance detected
by the overhead sensor. This allows us to tailor an algorithm to
your specific problem to find a high performance solution.
Often we will build on our existing technologies
to produce new algorithms. You don't have to settle for an off-the-shelf
solution. We also apply our extensive experience with remote sensing
and satellite imagery to develop new and innovative algorithms that
go beyond the traditional approach in pursuit of higher performance.
Finally, it's not enough to produce a new algorithm or formulation.
You have to consider how it will be implemented and used. We seek
to develop algorithms with a high degree of automation to reduce
the burden on the analyst and allow them to focus on their problem
and not the tool. We code these algorithms into standard image processing
packages, such as ERDAS IMAGINE, so that the end result is a truly