CPC G06V 20/188 (2022.01) [G06V 10/75 (2022.01); G06V 10/751 (2022.01)] | 15 Claims |
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.
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