E-systems, Inc.

Fenton L Givens

Paul M Ingram, Jr

Ronald Lloyd Bowden

James R Johnson

Thomas J Skinner

A method for selecting tie point locations within a series of overlapping images. Initially the series of images are ordered to maximize the potential for successful phase correlations between adjacent images. Adjacent pairs in the ordered images are then phase correlated to determine the translational offsets between adjacent pairs. The overlapping regions in adjacent pairs are assessed for normalized cross correlation and initial candidate tie points are selected within the regions at a reduced resolution. The initially selected tie points are then phase correlated at full resolution and any surviving candidate tie point locations are further refined to sub-pixel accuracy.

Method for autonomous determination of tie points in imagery

A method for automatically registering an image pair having a common coverage area, wherein a pair of image data sets, each representing an image of an image pair, are processed to generate initial dewarping coefficients for the image data sets. The translational offset between the images is estimated using a phase correlation process. Next, the common coverage area of the data image sets is determined by finding the vertices defining the limits of the common coverage area. Conjugate point pairs are extracted from the common coverage area by defining a series of block and subblock grids and defining the center point of the grid as a conjugate point location. The determined conjugate point sets are used to generate geometrically corrected registered dewarping coefficients and the image data sets are resampled using the registered dewarping coefficients to generate a registered image pair.

Method for autonomous image registration

A method of estimating both atmospheric conditions and surface temperatures of an object from either a single set of multispectral images or multiple simultaneously-acquired single-band images of the object. Estimates of atmospheric conditions are generated by determining and radiometrically correcting radiance values measured from the image of the object. Expected radiance values are then determined and compared with the measured radiance values. The best fit of the radiance values measured from the image of the object to the expected radiance values corresponds to the best estimate of the atmospheric conditions associated with the object. The present method estimates atmospheric conditions for the object regardless of the availability of atmospheric conditions associated with the image.

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Dallas, TX, United States of America

Fenton L Givens