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Applied Analysis Inc.
630 Boston Road
Suite 201
Billerica, MA 01821
 PH: 978-663-6828
FAX: 978-663-6389




Subpixel Classification - this is a background subtraction process to produce spectral residuals which represent pure materials. Both spectral and intensity filters are applied to the residuals. A spectral fit metric is used to identify the best fractional residual.

Adaptive Signature Kernel (ASK) - this process refines a spectral signature to account for variations in the material such as weathering or vegetative state as well as errors in the atmospheric correction. Child signatures are produced and compared with the parent in terms of their classification performance in-scene.

Image Calibrator - this process calibrates an image to units of apparent reflectance. Calibrated reference probe signatures are adapted to the current image and detected at a subpixel level. Using a technique similar to ASK, the average correction required to refine the probe signatures is representative of the atmospheric and sensor contributions to the spectra.

Spectral Anomaly Finder (SAF) - this process identifies patterns in residuals to locate specific spectral variations that are indicative of very small fractional occurences of materials or changes in the material such as burn marks or flowers.

Bathymetry - the absorption and scattering properties of water bodies are modeled and detected to quantify water depth.

Water Quality - a four-component model is used to characterize the chlorophyll, dissolved organic carbon, suspended mineral, and depth characteristics of a water body. Turbidity and secchi depth can then be estimated.

BANDS - this process identifies spectral features within a spectrum using high-order derivatives and adaptive smoothing to reduce the effects of noise. Features are characterized by their position, width, and intensity assuming a superposition of gaussian-like features.

Spectrum Envelop Slope Technique (SEST) - a new approach to spectral shape matching, SEST treats a spectrum as a plane curve and matches a signature spectrum using an intensity envelop coupled with a bandwise slope envelop. The resulting algorithm is fast, noise resistant, and accurate. It is suitable for both multispectral and hyperspectral applications.


AAI's web site has a new look to it. This new look better reflects what AAI is all about. (more)

External Links
· Leica-Geosystems
· Space Imaging
· DigitalGlobe
· SPOT Image
· USGS EarthExplorer
· USGS Landsat 7
· GeoCommunity
· Geography Network
· Flight Landata

Demo web-based mapping using the Geodata Visualization System (more)

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