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

US9626565B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9626565-B2
Application numberUS-201514789893-A
CountryUS
Kind codeB2
Filing dateJul 1, 2015
Priority dateJul 1, 2014
Publication dateApr 18, 2017
Grant dateApr 18, 2017

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for automated conversion of two-dimensional hydrology vector models into valid three-dimensional hydrology vector models, comprising: a vector extraction engine comprising a plurality of programming instructions stored in a memory and operating on a processor of a computing device, and configured to retrieve vectors from, and send vectors to, a vector storage such as a vector database; a DSM (digital surface model) server comprising a plurality of programming instructions stored in a memory and operating on a processor of a computing device, and configured to retrieve a DSM from a DSM storage, and further configured to compute a DSM from stereo disparity measurements of a stereo pair retrieved from a raster storage; a rendering engine comprising a plurality of programming instructions stored in a memory and operating on a processor of a computing device, and configured to receive a plurality of data from other components of the system and create visual representations in the form of three dimensional hydrology vector models of the data for review by a human user. 2. The system of claim 1 , further comprising a database computer comprising program code stored in a memory and adapted to store and provide information for other components of the system. 3. The system of claim 1 , further comprising a viewer device adapted to receive information from other components of the system and present the information for review by a human user. 4. The system of claim 1 , further comprising a plurality of input devices adapted to receive input from a human user and provide the results of the input to other components of the system. 5. A method for automated hydrology model development, comprising the steps of: receiving, at a hydrology vector server, a plurality of input images; extracting a plurality of hydrology vectors from at least a portion of the plurality of input images; algorithmically cleaning at least a portion of the hydrology vectors; enforcing vector attributes based at least in part on at least a portion of the hydrology vectors; and computing a hydrology graph model based at least in part on at least a portion of the vector attributes. 6. The method of claim 5 , further comprising the step of cleaning at least a portion of the plurality of hydrology vectors. 7. The method of claim 6 , wherein the cleaning is performed automatically by the hydrology vector server. 8. The method of claim 6 , wherein the cleaning is performed manually by a human user. 9. The method of claim 5 , further comprising the step of designating at least a portion of the hydrology vectors for use as feature vectors. 10. The method of claim 9 , wherein the designating is performed automatically by the hydrology vector server. 11. The method of claim 9 , wherein the designating is performed manually by a human user. 12. The method of claim 5 , further comprising the step of automatically enforcing vector monotonicity based at least in part on at least a portion of the vector attributes. 13. The method of claim 12 , wherein the hydrology vector graph model is based at least in part on at least a portion of the vector monotonicity. 14. The method of claim 5 , further comprising the step of providing the hydrology vector graph model as output. 15. The method of claim 14 , wherein the output is stored, in a database, for future reference. 16. The method of claim 14 , wherein the output is displayed on a display device for review or interaction by a human user.

Assignees

Inventors

Classifications

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9626565B2 cover?
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, an…
Who is the assignee on this patent?
Digitalglobe Inc
What technology area does this patent fall under?
Primary CPC classification G06T17/05. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 18 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).