Digitalglobe, Incorporated

Maxar Intelligence Inc.

Geoeye Solutions Inc.

Orbimage Si Opco, Inc.

Seth Malitz

Jacek Grodecki

Josh Nolting

Matthew Tang

Richard Clelland

Joshua Nolting

Brett W Bader

James Anthony Lutes

Beth Stein

Richard Poulsen

Zachary Bergen

A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.

Some automated and semi-automated tools for linear feature extraction in two and three dimensions

An automated system is provided for classifying materials in remotely-sensed imagery based on automated construction of a dynamic classifier&#x2014;namely, a classifier that is automatically trained on the same image to which it is then subsequently applied. A first automated process identifies high confidence exemplars of each class using tailored classification techniques. This data is then used to train a supervised classification model (e.g., discriminant analysis), and the resultant classifier is applied to other pixels in the image that are unclassified or uncertain. Dynamic classification is automatically customized to the current image and can yield a more accurate and efficient material classification versus a static (image-independent) or manually trained classifier. It can overcome various confounding factors including inconsistencies in radiometric calibration, atmospheric conditions, and atmospheric distortions of ground spectra; different viewing and illumination geometries; and regional variations in the composition of certain materials like asphalt and concrete.

Automated process for dynamic material classification in remotely sensed imagery

A system for semi-automated feature extraction comprising an image analysis server that receives and initializes a plurality of raster images, a feature extraction server that identifies and extracts image features, a mosaic server that assembles mosaics from multiple images, and a rendering engine that provides visual representations of images for review by a human user, and a method for generating a cost raster utilizing the system of the invention.

Automated seamline construction for high-quality high-resolution orthomosaics

A system for advanced vector editing, comprising a vector analysis server that analyzes vector information, a routing calculation server that calculates routes from the vector information, and a rendering engine that produces visualizations from the routing information, and several methods for advanced vector editing in two- and three-dimensional visualizations.

Advanced semi-automated vector editing in two and three dimensions

A system for automated conversion of two-dimensional hydrology vector models into valid three-dimensional hydrology vector models, comprising a vector extraction engine that retrieves vectors from, and sends vectors to, a vector storage, a DSM server that retrieves a DSM from a DSM storage and computes a DSM from stereo disparity measurements of a stereo pair retrieved from a raster storage, and a rendering engine that provides visual representations of images for review by a human user, and a method for automated hydrology vector model development utilizing the system of the invention.

Automated conversion of two-dimensional hydrology vector models into valid three-dimensional hydrology vector models

Method for editing a vector set associated with an extracted linear feature in a remotely sensed image, the vector set defining a path and being tied to a geographical location. The method includes displaying the path in a graphical display. Once the user activates a smart editing tool, the user establishes a region of influence centered around a cursor. The region of influence is configured to respond to cursor movements. The user specifies a point near the path and moves the cursor to it, bringing the region of influence along. Any error in the vector set of the path is automatically corrected in real time using image-based logic. The user then previews the correction on the graphical display and implements it, updating the path. The updated path is displayed in real time in the graphical display.

Semi-automatic extraction of linear features from image data

Method for editing a vector set associated with an extracted linear feature in a remotely sensed image, the vector set defining a path and being tied to a geographical location. The method includes displaying the path in a graphical display. Once the user activates a smart editing tool, the user establishes a region of influence centered around a cursor. The region of influence is configured to respond to cursor movements. The user specifies a point near the path and moves the cursor to it, brining the region of influence along. Any error in the vector set of the path is automatically corrected in real time using image-based logic. The user then previews the correction on the graphical display and implements it, updating the path. The updated path is displayed in real time in the graphical display.

A method for extracting a linear feature from remotely sensed imagery, including selecting by user interface anchor points for the linear feature, the anchor points being identified with a geographic location; using image-based logic to automatically calculate a vector set associated with the anchor points, the vector set comprising a path associated with the linear feature; automatically attributing a material type to the path; automatically attributing a geometry to the path; selecting by user interface anchor points for a successive linear feature; using image-based logic to calculate a successive vector set associated with the anchor points for the successive linear feature, the successive vector set comprising a successive path; using a geometric relationship between the vector set and the successive vector set to automatically adjust the vector set to create an adjusted vector set, the adjusted vector set correcting the path associated with the first linear feature.

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Aurora, CO, United States of America

Seth Malitz