Digitalglobe, Incorporated

Stc.unm

Maxar Intelligence Inc.

Nathan Reid Swanson

Shuang Luan

Steven Fredrick Hartung

Lijun Ma

Laurence C Bleiler

Spencer Stirling

Patrick Young

Wolfgang Schickler

Estimating absolute geospatial accuracy in input images without the use of surveyed control points is disclosed. For example, the absolute geospatial accuracy of a satellite images may be estimated without the use of control points (GCPs). The absolute geospatial accuracy of the input images may be estimated based on a statistical measure of relative accuracies between pairs of overlapping images. The estimation of the absolute geospatial accuracy may include determining a root mean square error of the relative accuracies between pairs of overlapping images. For example, the absolute geospatial accuracy of the input images may be estimated by determining a root mean square error of the shears of respective pairs of overlapping images. The estimated absolute geospatial accuracy may be used to curate GCPs, evaluate a digital elevation map, generate a heatmap, or determine whether the adjust the images until a target absolute geospatial accuracy is met.

Absolute geospatial accuracy model for remote sensing without surveyed control points

A set of input images from satellites (or other remote sensors) can be orthorectified and stitched together to create a mosaic. If the resulting mosaic is not of suitable quality, the input images can be adjusted and the processes of orthorectifying and creating the mosaic can be repeated. However, orthorectifying and creating the mosaic uses a large amount of computational resources and takes a lot of time. Therefore, performing numerous iterations is expensive and sometimes not practical. To overcome these issues, it is proposed to generate an indication of accuracy of the resulting mosaic prior to orthorectifying and creating the mosaic by accessing a set of points in the plurality of input images, projecting the points to a model, determining residuals for the projected points, and generating the indication of accuracy of the orthorectified mosaic based on the determined residuals.

Orbitting satellites with automated accuracy for orthorectified mosaics

A system for automated tonal balancing, comprising a rectification server that groups and processes images for use in tone-matching and provides them to a tone-matching server, that then performs tone-matching operations on the images and provides them as output for review or storage, and methods for tonal balancing using the system of the invention.

Automated tonal balancing

A database for creating orthomosaics, where the database is tailored to retrieve the most recent imagery for each pixel, in an efficient manner that partitions the orthomosaic into sufficiently small chunks that can each be quickly processed.

Choreographing automated and manual processes in support of mosaic generation

Techniques for automatically removing slivers from orthomosaics. First, slivers may be identified, which may be based upon user-configurable characteristics such as width and length. Second, slivers may be replaced with portions of another image, such as an older image. Third, boundary slivers may optionally be removed. Fourth, remaining boundary or interior slivers can be inflated by expanding the sliver until it is no longer a sliver, which may include replacing a portion of an adjacent image portion with older imagery.

Automated sliver removal in orthomosaic generation

The present invention is a method and system for developing a dynamic scheme for Gamma Knife radiosurgery based on the concept of 'dose-painting' to take advantage of robotic patient positioning systems on the Gamma Knife C and Perfexion units. The spherical high dose volume created by the Gamma Knife unit will be viewed as a 3D spherical 'paintbrush', and treatment planning is reduced to finding the best route of this &#x201c;paintbrush&#x201d; to &#x201c;paint&#x201d; a 3D tumor volume. Under the dose-painting concept, Gamma Knife radiosurgery becomes dynamic, where the patient is moving continuously under the robotic positioning system.

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Erie, CO, United States of America

Nathan Reid Swanson