Earth Satellite Corporation

Mda Information Systems, Inc.

Roger A Mitchell

Michael Vincent Finn

Jon D Dykstra

Michael Place

Charles Sheffield

Jon Dykstra

Gregory T Koeln

A system and method of mapping a persistent feature change of image data at a geographic location includes selecting a plurality of satellite images from a geographic location on different dates, producing a plurality of two-date satellite change images from pairs of the satellite images, comparing the plurality of satellite change images, and detecting a persistent feature change of image data in the compared satellite change images. The system may be implemented by selecting a plurality of satellite images from a database from different dates. A change detection module measures a change between pairs of the satellite images to produce a plurality of two-date satellite change images. A change confirmation module compares the two-date satellite change images and to confirm a persistent feature change.

Correlated land change system and method

A computationally efficient method, system and programmed medium according to the present invention creates highly accurate maps of celestial bodies, spanning multiple UTM zones given sparse control points on the celestial body surface without requiring the existence or synthesis of a mathematical model of the satellite image sensor. The present invention provides an improved method and system for producing orthorectification coefficients needed to produce highly accurate maps of the surface of celestial bodies that span multiple UTM zones.

Method, system and programmed medium for massive geodetic block

The present invention involves a system and method for processing information from high resolution data from maps, aerial photographs and other spatial data with low resolution data from limitation in order to accurately identify changes in the studied areas. The system and method relies upon a vectorized database which has been classified according to topographical features. Change is defined by a Z-statistic. The Z-statistic is calculated in a two-pass cross-correlation technique when pixel brightnesses are compared to a mean brightness for the typical topographical class and to a standard deviation for that class. The normalized difference values are accumulated across different bands, are scaled and then compared to a threshold which defines high, medium and low change values. A map is automatically produced illustrating areas of significant change.

Process and apparatus for cross-correlating digital imagery

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Chevy Chase, MD, United States of America

Roger A Mitchell