IP Library Patent Application 18046025
Patent Application
App. No. 18/046,025

DATA SELECTION FOR IMAGE GENERATION

Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US None
App. No.
18/046,025
Abstract

A method includes obtaining waveform return data including waveform return records for multiple sampling events associated with an observed area and determining a relevance score for the waveform return records of the waveform return data. The relevance score for a particular waveform return record is based, at least partially, on estimated information gain associated with the particular waveform return record. The method also includes, based on the relevance scores, selecting a first subset of waveform return records, where one or more waveform return records are excluded from the first subset of waveform return records. The method also includes generating image data based on the first subset of waveform return records.

Claims (45)

1 . A system comprising:

one or more memory devices storing instructions; and

one or more processors configured to execute the instructions to:

obtain waveform return data including waveform return records for multiple sampling events associated with an observed area;

determine a relevance score for the waveform return records of the waveform return data, the relevance score for a particular waveform return record based, at least partially, on estimated information gain associated with the particular waveform return record;

based on the relevance scores, select a first subset of waveform return records, wherein one or more waveform return records of the waveform return data are excluded from the first subset of waveform return records; and

generate image data based on the first subset of waveform return records.

2 . The system of claim 1 , wherein the waveform return records are indicative of reflections of one or more incident waves from visually occluded structures of the observed area.

3 . The system of claim 1 , wherein the multiple sampling events represent multiple acquisition geometries, each acquisition geometry corresponding to one or more source locations and one or more receiver locations relative to the observed area, and wherein the one or more processors are further configured to execute the instructions to select, based on the multiple acquisition geometries, a second subset of waveform return records, the second subset of waveform return records including two or more waveform return records of the waveform return data and excluding one or more waveform return records of the waveform return data, wherein the image data is generated further based on the second subset of waveform return records.

4 . The system of claim 3 , wherein the second subset of waveform return records is selected based on a distribution of acquisition geometries relative to the observed area.

5 . The system of claim 3 , wherein the first subset of waveform return records and the second subset of waveform return records are mutually exclusive.

6 . The system of claim 1 , wherein a number of waveform return records selected for inclusion in the first subset of waveform return records is based on a selection budget.

7 . The system of claim 6 , wherein the selection budget specifies a threshold count of waveform return records to be included in the first subset of waveform return records.

8 . The system of claim 6 , wherein the selection budget specifies a threshold relevance for determining whether a waveform return record is to be included in the first subset of waveform return records.

9 . The system of claim 6 , wherein the selection budget specifies a threshold count of waveform return records to be used to generate the image data, wherein the waveform return records to be used to generate the image data include the first subset of waveform return records and a second subset of waveform return records, and wherein the second subset of waveform return records are selected based on acquisition geometries.

10 . The system of claim 1 , wherein selection of the first subset of waveform return records comprises:

designating for inclusion in the first subset of waveform return records waveform return records that have high estimated information gain with respect to a structure estimate associated with the observed area and that have high estimated information gain with respect to one another;

designating for omission from the first subset of waveform return records one or more waveform return records that have low estimated information gain with respect to the structure estimate; and

designating for omission from the first subset of waveform return records one or more waveform return records that have low estimated information gain with respect to one another.

11 . The system of claim 1 , wherein a value of the relevance score of the particular waveform return record is based on pixel-by-pixel comparison of a first image based on the particular waveform return record and a second image representing a structure estimate associated with the observed area.

12 . The system of claim 1 , wherein the one or more processors are further configured to execute the instructions to identify one or more regions of interest based on a structure estimate associated with the observed area, wherein the relevance score for each waveform return record is based on the one or more regions of interest.

13 . The system of claim 12 , wherein at least one of the one or more regions of interest corresponds to a region around a boundary between two subsurface layers.

14 . The system of claim 12 , wherein identification of the one or more regions of interest comprises:

segmenting the structure estimate to identify boundaries between subsurface layers; and

for an identified boundary, designating a region on either side of the identified boundary as a region of interest.

15 . The system of claim 12 , wherein mutual information for locations within the one or more regions of interest is weighted more heavily than mutual information for locations outside the one or more regions of interest to determine the relevance score for the particular waveform return record.

16 . A method comprising:

obtaining waveform return data including waveform return records for multiple sampling events associated with an observed area;

determining a relevance score for the waveform return records of the waveform return data, the relevance score for a particular waveform return record based, at least partially, on estimated information gain associated with the particular waveform return record;

based on the relevance scores, selecting a first subset of waveform return records, wherein one or more waveform return records are excluded from the first subset of waveform return records; and

generating image data based on the first subset of waveform return records.

17 . The method of claim 16 , wherein the multiple sampling events represent multiple acquisition geometries, each acquisition geometry corresponding to one or more source locations and one or more receiver locations relative to the observed area.

18 . The method of claim 17 , further comprising selecting, based on the multiple acquisition geometries, a second subset of waveform return records, the second subset of waveform return records including two or more waveform return records of the waveform return data and excluding one or more waveform return records of the waveform return data, wherein the image data is generated further based on the second subset of waveform return records.

19 . The method of claim 18 , wherein the second subset of waveform return records is selected based on a distribution of acquisition geometries relative to the observed area.

20 . The method of claim 18 , wherein the first subset of waveform return records and the second subset of waveform return records are mutually exclusive.

21 . The method of claim 16 , wherein a number of waveform return records selected for inclusion in the first subset of waveform return records is based on a selection budget.

22 . The method of claim 16 , wherein selecting the first subset of waveform return records comprises:

designating for inclusion in the first subset of waveform return records waveform return records that have high estimated information gain with respect to a structure estimate associated with the observed area and that have high estimated information gain with respect to one another;

designating for omission from the first subset of waveform return records one or more waveform return records that have low estimated information gain with respect to the structure estimate; and

designating for omission from the first subset of waveform return records one or more waveform return records that have low estimated information gain with respect to one another.

23 . A computer-readable storage device storing instructions that are executable by one or more processors to cause the one or more processors to:

obtain waveform return data including waveform return records for multiple sampling events associated with an observed area;

determine a relevance score for the waveform return records of the waveform return data, the relevance score for a particular waveform return record based, at least partially, on estimated information gain associated with the particular waveform return record;

based on the relevance scores, select a first subset of waveform return records, wherein one or more waveform return records of the waveform return data are excluded from the first subset of waveform return records; and

generate image data based on the first group of waveform return records.

Assignments (2)
CHANGE OF NAME Recorded Jul 8, 2025
From: SPARKCOGNITION, INC.
To: AVATHON, INC.
Reel/Frame 071859/0705 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2022
From: ARDEL, ALEXANDRU; LIEBMAN, ELAD; SEN, MRINAL K.; DIMAKIS, GEORGIOS ALEXANDROS; GANDHI, YASH; RAVULA, SRIRAM; VOYTAN, DIMITRI
To: SPARKCOGNITION, INC.
Reel/Frame 062161/0486 →