eo_tools.S1.util

boxcar(img, dimaz, dimrg)

Apply a boxcar filter to an image.

Parameters:

Name	Type	Description	Default
img	complex or real array	Input image with arbitrary number of dimensions, shape (naz, nrg, ...).	required
dimaz	float	Size in azimuth of the filter.	required
dimrg	float	Size in range of the filter.	required

Returns:

Type	Description
	complex or real array: Filtered image, shape (naz, nrg, ...).

Note

The filter is always applied along 2 dimensions (azimuth, range). Please ensure to provide a valid image.

presum(img, m, n)

Computes the m by n presummed image.

Parameters:

Name	Type	Description	Default
img	array - like	Input image array with shape (naz, nrg,...).	required
m	int	Number of lines to sum. Must be an integer >= 1.	required
n	int	Number of columns to sum. Must be an integer >= 1.	required

Raises:

Type	Description
TypeError	If m or n are not integers.
ValueError	If m or n are less than 1, or if m > img.shape[0] or n > img.shape[1].

Returns:

Name	Type	Description
array		Presummed image array with shape (M, N,...), where M and N are the largest multiples of m and n that are less than or equal to img.shape[0] and img.shape[1], respectively.

Note: Returns the input array if m==1 and n==1.

remap(img, rr, cc, kernel='bicubic')

Resample an image using row, column lookup tables

Parameters:

Name	Type	Description	Default
img	array	image to resample (complex is allowed)	required
rr	array	lookup table for row positions	required
cc	array	lookup table for column positions	required
kernel	str	Kernel type ("nearest", "bilinear", "bicubic" -- 4 point, "bicubic6" -- 6 point). Defaults to "bicubic".	'bicubic'

Returns:

Name	Type	Description
array		Resampled image with same dimensions as rr and cc.