US 11,721,097 B2
Field image correlation differential change detection and alerting system
Gordon Logie, Winnipeg (CA)
Assigned to Farmers Edge Inc., Winnipeg (CA)
Filed by FARMERS EDGE INC., Winnipeg (CA)
Filed on Jul. 13, 2021, as Appl. No. 17/373,891.
Claims priority of provisional application 63/051,623, filed on Jul. 14, 2020.
Prior Publication US 2022/0019794 A1, Jan. 20, 2022
Int. Cl. G06V 10/75 (2022.01); G06V 20/10 (2022.01)
CPC G06V 20/188 (2022.01) [G06V 10/75 (2022.01); G06V 10/751 (2022.01)] 15 Claims
OG exemplary drawing
 
1. A method of detecting a change within an agricultural field during a growing season, the method comprising:
(a) receiving a plurality of remotely sensed images of the agricultural field acquired during the growing season;
(b) for each one of a plurality of the remotely sensed images, using a processor,
(i) designating a currently selected one of the remotely sensed images as a master image;
(ii) identifying a set of past images among the remotely sensed images that were acquired before the master image;
(iii) computing a past correlation coefficient between each past image and the master image;
(iv) identifying a maximum past correlation value among the past correlation coefficients;
(v) identifying a set of future images among the remotely sensed images that were acquired after the master image;
(vi) computing a future correlation coefficient between each future image and the master image;
(vii) identifying a maximum future correlation value among the future correlation coefficients; and
(viii) computing a correlation differential value corresponding to a difference between the maximum past correlation value and the maximum future correlation value; and
(c) comparing each correlation differential value to a notification criterium and determining a notification condition if one of the correlation differential values meets the notification criterium.