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:
Aug. 19, 2025

Filed:

Apr. 11, 2025
Applicant:

Ecopia Tech Corporation, Toronto, CA;

Inventors:

Yuanming Shu, Toronto, CA;

Shuo Tan, Campbell, CA (US);

Dawei Zai, Toronto, CA;

Ruijie Deng, Toronto, CA;

Zihao Chen, Toronto, CA;

Andi Dai, Toronto, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/05 (2011.01); G06T 19/20 (2011.01); G06V 10/25 (2022.01); G06V 10/40 (2022.01);
U.S. Cl.
CPC ...
G06T 17/05 (2013.01); G06T 19/20 (2013.01); G06V 10/25 (2022.01); G06V 10/40 (2022.01); G06T 2219/2004 (2013.01);
Abstract

Methods and systems for enhancing elevation models with landcover feature data are provided. An example method involves accessing geospatial imagery covering an area of interest that includes a three-dimensional landcover feature, generating a digital surface model that includes one or more above-ground points corresponding to the three-dimensional landcover feature, extracting two-dimensional vector data from the geospatial imagery that represents a two-dimensional boundary of the three-dimensional landcover feature, generating a digital terrain model by removing from the digital surface model a portion that is bound by the two-dimensional vector data, generating three-dimensional vector data representing the three-dimensional landcover feature, inserting one or more ground-level points of the three-dimensional vector data into the digital terrain model, and filling the digital terrain model where the portion of the digital surface model was removed with estimated ground-level points of the three-dimensional vector data as a seed in a non-linear optimization process.


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