Derivative Imaging for Subsurface Object Detection
Abstract
A series of scans is generated for a subsurface and a derivative image is created using the series of subsurface images. One or more tests are performed on the derivative image, and a subsurface object is detected based on the one or more tests. A sensor is configured to generate a series of scans for a subsurface and a processor is coupled to the sensor. The processor is configured to execute stored program instructions that cause the processor to generate a series of images of the subsurface using the series of scans, create a derivative image using the series of subsurface images, perform one or more tests on the derivative image, and detect a subsurface object based on the one or more tests.
Claims
exact text as granted — not AI-modified1 . A method, comprising:
generating a series of scans for a subsurface; creating a derivative image using the series of subsurface images; performing one or more tests on the derivative image; and detecting a subsurface object based on the one or more tests.
2 . The method according to claim 1 , comprising generating an output in response to detecting the subsurface obstacle.
3 . The method according to claim 1 , comprising generating one or both of a visual output and an audible output in response to detecting the subsurface obstacle.
4 . The method according to claim 1 , wherein creating the derivative image comprises calculating a derivative of a reflected or scattered energy parameter associated with a pixel or a pixel cluster of the subsurface images.
5 . The method according to claim 1 , wherein creating the derivative image comprises:
calculating a derivative of a parameter of the subsurface images; and forming the derivative image using derivatives of the parameter.
6 . The method according to claim 5 , wherein the parameter comprises brightness of a pixel or a pixel cluster of the subsurface images.
7 . The method according to claim 1 , wherein:
creating the derivative image comprises:
calculating a derivative of a pixel parameter or a pixel cluster parameter of the subsurface images; and
forming the derivative image using derivatives of the pixel or pixel cluster parameter; and
performing one or more tests on the derivative image comprises:
determining whether a derivative of each pixel or pixel cluster exceeds a first threshold; and
determining whether the previous n derivatives for this pixel or pixel cluster exceeds a second threshold, wherein n is an integer.
8 . The method according to claim 7 , wherein one or both of the first threshold and the second threshold are adjustable.
9 . The method according to claim 1 , wherein:
creating the derivative image comprises:
calculating a derivative of a pixel parameter or a pixel cluster parameter of the subsurface images; and
forming the derivative image using derivatives of the pixel or pixel cluster parameter; and
performing one or more tests on the derivative image comprises performing at least two of:
determining whether the derivative of each pixel or pixel cluster exceeds a first threshold;
determining whether the previous n derivatives for this pixel or pixel cluster exceeds a second threshold, wherein n is an integer;
determining if a range associated with each pixel or pixel cluster is less than a predetermined detection range; and
determining if a location associated with each pixel or pixel cluster is beyond a predetermined position.
10 . The method according to claim 1 , comprising:
forming a mask image comprising one or more markers indicative of object detection location; applying the mask image to the subsurface images; and displaying the mask image applied to the subsurface images.
11 . The method according to claim 1 , comprising cropping the subsurface images to excise portions of the subsurface images beyond a predetermined detection range.
12 . The method according to claim 1 , wherein:
generating the subsurface images comprises creating a synthetic aperture radar (SAR) image using the series of scans; and creating the derivative image comprises creating a derivative image of the SAR image.
13 . A system, comprising:
a sensor configured to generate a series of scans for a subsurface; and a processor coupled to the sensor and configured to execute stored program instructions that cause the processor to generate a series of images of the subsurface using the series of scans, create a derivative image using the series of subsurface images, perform one or more tests on the derivative image, and detect a subsurface object based on the one or more tests.
14 . The system according to claim 13 , wherein the sensor comprises a ground penetrating radar.
15 . The system according to claim 13 , wherein the sensor comprises an acoustic or a seismic sensor.
16 . The system according to claim 13 , wherein the sensor comprises an electromagnetic sensor.
17 . The system according to claim 13 , wherein the sensor comprises at least one of:
a magnetic field generator and a detector configured to detect a return signal; a magnetic resonance (MRI) source and a detector configured to detect a return signal; a positron emission (PET) source and a detector configured to detect a return signal; a nuclear magnetic resonance (NMR) sensor and a detector configured to detect a return signal; and a time-domain electromagnetic (TDEM) sensor and a detector configured to detect a return signal.
18 . The system according to claim 13 , wherein the sensor comprises a housing configured for above-ground portability.
19 . The system according to claim 13 , wherein the sensor comprises a housing configured for subsurface deployment.
20 . The system according to claim 13 , comprising a user interface coupled to the processor, the user interface comprising a display for displaying subsurface images and indicia indicative of the detected subsurface object.
21 - 27 . (canceled)Join the waitlist — get patent alerts
Track US2017010388A1 — get alerts on status changes and closely related new filings.
We store only your email — no account needed. See our privacy policy.