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Computational aspects of the crop field segmentation problem based on anisotropic active contour model
∗
Here, S stands for the area of a standard field in Author contributions
a given region. Conceptualization: All authors
After that we define the function φ 0 ε,τ as a so- Formal analysis: All authors
lution of the problem (51), (52), (53)–(55) with Investigation: All authors
the given collection {l j } M . Let {S j } M be a set
j=1 j=0 Methodology: All authors
of the corresponding segments that we identify by Writing-original draft: All authors
the rules (57)–(59). Then we define the true seg- Writing-review & editing: All authors
ments as follows:
k=1; Availability of data
True_Segment(k):=S_0;
Not applicable.
for j=1:M
if area(S_1)<0.10 S*
combine{True_Segment(k),S_j}; References
else
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k=k+1;
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1
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Acknowledgments
high spatial resolution and MODIS temporal fre-
None. quency. J Comput Appl Math. 2023;434:115339.
8. D’Apice C, Kogut PI, Manzo R, Uvarov M. Varia-
tional model with nonstandard growth conditions
Funding for the restoration of satellite optical images using
synthetic aperture radar. Eur J Appl Math. 2023;
None.
34(1):77-105.
9. Hnatushenko VV, Kogut PI, & Uvarov MV. On
Conflict of interest satellite image Segmentation via piecewise con-
stant approximation of selective smoothed target
The authors declare no conflict of interest. mapping. Appl Math Comput. 2021;389:125615.
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