reading ENVI from header (hdr) and openflight (flt) files

envi2png_eg.py

import matplotlib.pyplot as plt
import scipy.misc
import spectral.io.envi as envi

# in ftp.djamshidpour.com/SanFrancisco/d20160226T2055
img = envi.open('FBI_TET1_20160226T205533_20160226T205613_L1B_C_EL-02984_LWIR.hdr', 
                'FBI_TET1_20160226T205533_20160226T205613_L1B_C_EL-02984_LWIR.flt')

#show images in viewer
# plt.imshow(img.asarray().squeeze()) # color
# plt.imshow(img.asarray().squeeze(), cmap=plt.cm.binary) # grey
# ptl.imshow(img.asarray().squeeze(), cmap='Greys_r') # negative?

# save as png
scipy.misc.imsave('outfile.png', img.asarray().squeeze())

envi2png_recursive.py

# convert envi data as hdr and flt files to png in same directory
import glob
import os
import matplotlib.pyplot as plt
import scipy.misc
import spectral.io.envi as envi

rootdir = os.getcwd()

# for each sub directory
for subdir, dirs, files in os.walk(rootdir):
  hdrs = glob.glob(os.path.join(subdir, '*hdr'))
  flts = glob.glob(os.path.join(subdir, '*flt'))
  if len(hdrs) != len(flts):
      print "mismatched header and flt files"
      continue
  for hdr, flt in zip(hdrs, flts):
    png_out = hdr.rsplit(".", 1)[0] + ".png"
    img = envi.open(hdr, flt)
    scipy.misc.imsave(png_out, img.asarray().squeeze())