pyroSAR/gamma/parser_demo.py
def interp_ad(data_in, data_out, width, r_max='-', np_min='-', np_max='-', w_mode='-', type='-', cp_data='-', logpath=None):
    """
    | Weighted interpolation of gaps in 2D data using an adaptive smoothing window
    | Copyright 2016, Gamma Remote Sensing, v2.1 23-Nov-2016 clw/uw
    
    Parameters
    ----------
    data_in:
        (input) data with gaps
    data_out:
        (output) data with gaps filled by interpolation
    width:
        number of samples/row
    r_max:
        maximum interpolation window radius (default(-): 16)
    np_min:
        minimum number of points used for the interpolation (default(-): 16)
    np_max:
        maximum number of points used for the interpolation (default(-): 16)
    w_mode:
        data weighting mode (enter - for default):
            * 0: constant
            * 1: 1 - (r/r_max)
            * 2: 1 - (r/r_max)\*\*2  (default)
            * 3: exp(-2.\*(r\*\*2/r_max\*\*2))
    
    type:
        input and output data type:
            * 0: FCOMPLEX
            * 1: SCOMPLEX
            * 2: FLOAT (default)
            * 3: INT
            * 4: SHORT
    
    cp_data:
        copy data flag:
            * 0: do not copy input data values to output
            * 1: copy input data values to output (default)
    
    logpath: str or None
        a directory to write command logfiles to
    """
    process(['/cluster/GAMMA_SOFTWARE-20161207/ISP/bin/interp_ad', data_in, data_out, width, r_max, np_min, np_max, w_mode, type, cp_data], logpath=logpath)

    | Weighted interpolation of gaps in 2D data using an adaptive smoothing window
    | Copyright 2016, Gamma Remote Sensing, v2.1 23-Nov-2016 clw/uw
    
    Parameters
    ----------
    data_in:
        (input) data with gaps
    data_out:
        (output) data with gaps filled by interpolation
    width:
        number of samples/row
    r_max:
        maximum interpolation window radius (default(-): 16)
    np_min:
        minimum number of points used for the interpolation (default(-): 16)
    np_max:
        maximum number of points used for the interpolation (default(-): 16)
    w_mode:
        data weighting mode (enter - for default):
            * 0: constant
            * 1: 1 - (r/r_max)
            * 2: 1 - (r/r_max)\*\*2  (default)
            * 3: exp(-2.\*(r\*\*2/r_max\*\*2))
    
    type:
        input and output data type:
            * 0: FCOMPLEX
            * 1: SCOMPLEX
            * 2: FLOAT (default)
            * 3: INT
            * 4: SHORT
    
    cp_data:
        copy data flag:
            * 0: do not copy input data values to output
            * 1: copy input data values to output (default)
    
    logpath: str or None
        a directory to write command logfiles to
    
| Weighted interpolation of gaps in 2D data using an adaptive smoothing window
| Copyright 2016, Gamma Remote Sensing, v2.1 23-Nov-2016 clw/uw

Parameters





copy data flag:
0: do not copy input data values to output
1: copy input data values to output (default)

str or None
a directory to write command logfiles to
| Weighted interpolation of gaps in 2D data using an adaptive smoothing window | Copyright 2016 Gamma Remote Sensing v2 . 1 23 - Nov - 2016 clw / uw Parameters copy data flag : 0 : do not copy input data values to output 1 : copy input data values to output ( default ) str or None a directory to write command logfiles to
def interp_ad(data_in, data_out, width, r_max='-', np_min='-', np_max='-', w_mode='-', type='-', cp_data='-', logpath=None):
    process(['/cluster/GAMMA_SOFTWARE-20161207/ISP/bin/interp_ad', data_in, data_out, width, r_max, np_min, np_max, w_mode, type, cp_data], logpath=logpath)
def interp_ad ( data_in , data_out , width , r_max = '-' , np_min = '-' , np_max = '-' , w_mode = '-' , type = '-' , cp_data = '-' , logpath = None ) : process ( [ '/cluster/GAMMA_SOFTWARE-20161207/ISP/bin/interp_ad' , data_in , data_out , width , r_max , np_min , np_max , w_mode , type , cp_data ] , logpath = logpath )
| Weighted interpolation of gaps in 2D data using an adaptive smoothing window
| Copyright 2016, Gamma Remote Sensing, v2.1 23-Nov-2016 clw/uw
| Weighted interpolation of gaps in 2D data using an adaptive smoothing window | Copyright 2016 Gamma Remote Sensing v2 . 1 23 - Nov - 2016 clw / uw
"""
    | Weighted interpolation of gaps in 2D data using an adaptive smoothing window
    | Copyright 2016, Gamma Remote Sensing, v2.1 23-Nov-2016 clw/uw
    
    Parameters
    ----------
    data_in:
        (input) data with gaps
    data_out:
        (output) data with gaps filled by interpolation
    width:
        number of samples/row
    r_max:
        maximum interpolation window radius (default(-): 16)
    np_min:
        minimum number of points used for the interpolation (default(-): 16)
    np_max:
        maximum number of points used for the interpolation (default(-): 16)
    w_mode:
        data weighting mode (enter - for default):
            * 0: constant
            * 1: 1 - (r/r_max)
            * 2: 1 - (r/r_max)\*\*2  (default)
            * 3: exp(-2.\*(r\*\*2/r_max\*\*2))
    
    type:
        input and output data type:
            * 0: FCOMPLEX
            * 1: SCOMPLEX
            * 2: FLOAT (default)
            * 3: INT
            * 4: SHORT
    
    cp_data:
        copy data flag:
            * 0: do not copy input data values to output
            * 1: copy input data values to output (default)
    
    logpath: str or None
        a directory to write command logfiles to
    """
data_in
data_out
width
r_max
np_min
np_max
w_mode
type
cp_data
logpath