sconstruct

国外免费地震资料处理软件包

from rsfproj import *

Fetch('apr18.h','seab')

Flow('data','apr18.h','dd form=native')
Flow('bin','data',
     '''window n1=1 f1=2 | math output='(2978-input)/387' |
     bin head=$SOURCE niter=150 nx=160 ny=160 xkey=0 ykey=1''')

def grey(title):
    return '''
    grey pclip=100 labelsz=10 titlesz=12
    transp=n yreverse=n
    label1=longitude label2=latitude title="%s"
    ''' % title

Plot('bin',grey('Binned'))

Flow('lap','bin','lapfill')
Plot('lap',grey('Filled with Laplacian'))

Result('seabdat','bin lap','SideBySideAniso')

Flow('pef lag','bin','pef maskin=$SOURCE a=5,3 niter=200 lag=${TARGETS[1]}')

for prec in (0,1):
    pic = ('old','new')[prec]
    pics = []
    for niter in (200,20):
        mis = pic + str(niter)
        pics.append(mis)
        Flow(mis,'bin pef',
             'miss filt=${SOURCES[1]} prec=%d niter=%d' % (prec,niter))
        Plot(mis,grey('%s-space: %d iterations' %
                      (('Model','Data')[prec],niter)))
    Result('seab'+pic,pics,'SideBySideAniso')

###########################################################################
End()