set_functions | R Documentation |
These functions compute subsets required to calculate segmentation metrics as described in Clinton et al. (2010) and Costa et al. (2017).
sm_ref()
returns the set of n polygons of reference,
represented by X = \{x_{i}: i = 1, ....., n\}
sm_seg()
returns the set of m segmentation polygons,
represented by Y = \{y_{j}: j = 1, ....., m\}
sm_ytilde()
returns \tilde{Y}_{i}, a subset of Y,
where \tilde{Y}_{i} = \{y_{j}: \rm{area}(x_{i} \cap y_{j}) \neq 0\}
sm_xtilde()
returns \tilde{X}_{j}, a subset of X, where
\tilde{X}_{j} = \{x_{i}: \rm{area}(y_{j} \cap x_{i}) \neq 0\}
sm_yprime()
returns Y'_{i}, a subset of Y, where
Y'_{i} = \{y_{j}: max(\rm{area}(x_{i} \cap y_{j}))\}
sm_xprime()
returns X'_{j}, a subset of X, where
X'_{j} = \{x_{i}: max(\rm{area}(y_{j} \cap x_{i}))\}
sm_ya()
returns Y\!a_{i}, a subset of \tilde{Y}_{i},
where Y\!a_{i} = \{y_{j}: \rm{centroid}(x_{i}) \:\rm{in}\: y_{j}\}
sm_yb()
returns Y\!b_{i}, a subset of \tilde{Y}_{i},
where Y\!b_{i} = \{y_{j}: \rm{centroid}(y_{j}) \:\rm{in}\: x_{i}\}
sm_yc()
returns Y\!c_{i}, a subset of \tilde{Y}_{i},
where Y\!c_{i} = \{y_{j}: \rm{area}(x_{i} \cap y_{j}) /
\rm{area}(y_{j}) > 0.5\}
sm_yd()
returns Y\!d_{i}, a subset of \tilde{Y}_{i},
where Y\!d_{i} = \{y_{j}: \rm{area}(x_{i} \cap y_{j}) / \rm{area}(x_{i}) > 0.5\}
sm_ystar()
returns {Y}^{*}_{i}, where
{Y}^{*}_{i} = Y\!a_{i} \cup Y\!b_{i} \cup Y\!c_{i} \cup Y\!c_{i}
sm_ycd()
returns Y\!cd_{i}, where
Y\!cd_{i} = Y\!c_{i} \cup Y\!d_{i}
sm_ye()
returns Y\!e_{i}, a subset of \tilde{Y}_{i},
where Y\!e_{i} = \{y_{j}: \rm{area}(x_{i} \cap y_{j}) / \rm{area}(y_{j}) = 1\}
sm_yf()
returns Y\!f_{i}, a subset of \tilde{Y}_{i},
where Y\!f_{i} = \{y_{j}: \rm{area}(x_{i} \cap y_{j}) / \rm{area}(y_{j}) > 0.55\}
sm_yg()
returns Y\!g_{i}, a subset of \tilde{Y}_{i},
where Y\!g_{i} = \{y_{j}: \rm{area}(x_{i} \cap y_{j}) / \rm{area}(y_{j}) > 0.75\}
sm_ytilde(m) sm_xtilde(m) sm_yprime(m) sm_xprime(m) sm_ya(m) sm_yb(m) sm_yc(m) sm_yd(m) sm_ystar(m) sm_ycd(m) sm_ye(m) sm_yf(m) sm_yg(m)
m |
A |
sm_ref()
: Return an object of class ref_sf
(inherited from sf
)
containing identification (ref_id
) and geometry (geometry
) columns.
sm_seg()
: Return an object of class seg_sf
(inherited from sf
)
containing identification (seg_id
) and geometry (geometry
) columns.
sm_ytilde()
, sm_xtilde()
, sm_yprime()
, sm_xprime()
, sm_ya()
,
sm_yb()
, sm_yc()
, sm_yd()
, sm_ystar()
, sm_ycd()
, sm_ye()
,
sm_yf()
, and sm_yg()
: Return an object of class subset_sf
(inherited from sf
) containing identification (ref_id
and seg_id
),
and geometry (geometry
) columns.
Clinton, N., Holt, A., Scarborough, J., Yan, L., & Gong, P. (2010). Accuracy Assessment Measures for Object-based Image Segmentation Goodness. Photogrammetric Engineering & Remote Sensing, 76(3), 289–299. doi: 10.14358/PERS.76.3.289.
Costa, H., Foody, G. M., & Boyd, D. S. (2018). Supervised methods of image segmentation accuracy assessment in land cover mapping. Remote Sensing of Environment, 205(December 2017), 338–351. doi: 10.1016/j.rse.2017.11.024.
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