The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 14, 2020

Filed:

Apr. 29, 2019
Applicant:

Intermap Technologies, Inc., Englewood, CO (US);

Inventors:

Nathan Zachary Mercer, Englewood, CO (US);

Stephen Charles Griffiths, Englewood, CO (US);

Michael John Wollersheim, Englewood, CO (US);

Trevor Roy Miller, Englewood, CO (US);

Qiaoping Zhang, Englewood, CO (US);

Assignee:

Intermap Technologies Inc., Englewood, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 3/40 (2006.01); G06T 5/10 (2006.01); G06T 17/05 (2011.01); G06T 5/50 (2006.01); A61B 6/00 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06T 3/40 (2013.01); A61B 6/5258 (2013.01); G06T 3/4053 (2013.01); G06T 5/002 (2013.01); G06T 5/007 (2013.01); G06T 5/10 (2013.01); G06T 5/50 (2013.01); G06T 17/05 (2013.01); G06T 2207/10044 (2013.01); G06T 2207/20032 (2013.01); G06T 2207/20182 (2013.01); G06T 2207/20216 (2013.01); G06T 2207/20224 (2013.01);
Abstract

Systems and methods of enhancing the resolution of digital terrain models (DTM) for location-based applications and analyses. The DTM enhancement process takes the signature of the input image (e.g., via the input image and a noise surface file with similar characteristics as the sensor used to capture the input image) and applies it to the DTM without including large features such as buildings. The disclosed methods include utilize a process similar to that used for enhancing a DSM based on mapping the changing intensity from the image file to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensors and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic and can be applied on any type of image collected by any type of sensor.


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