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from Common.otb_numpy_proc import to_otb_pipeline
import os
import glob
from pathlib import Path
import re
from osgeo import ogr, gdal
from Common.geometry import compute_displacement
from math import ceil, floor, sqrt
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class SPOT67RasterPipeline:
# BEGIN SPOT6/7 VHR PROTOTYPE
MS_FOLDER_PATTERN = 'IMG_SPOT*_MS_*'
PAN_FOLDER_PATTERN = 'IMG_SPOT*_P_*'
TILE_PATTERN = '*_R*C*.TIF'
NDT = 0.0
REF_TYPE = otb.ImagePixelType_uint16
TOA_TYPE = otb.ImagePixelType_float
GRID_SPC = [6, 24]
RS_LABEL = 'SEN'
MS_LABEL = 'MS'
OPT_IN = '?&skipcarto=true'
@classmethod
def _find_tiles(cls, x):
lst = sorted(glob.glob(os.path.join(x, cls.TILE_PATTERN)))
res = re.search('R[0-9]C[0-9]', lst[-1]).group()
return lst, int(res[1]), int(res[3]), res
def __init__(self, pan_root, ms_root=None):
self.out_idx = []
self.pipe = []
self.files = []
self.types = []
self.out_p = []
self.ms_folder = None
self.pan_folder = None
self.pipe = []
if ms_root is None:
ms_root = pan_root
for p in Path(pan_root).rglob(self.PAN_FOLDER_PATTERN):
if os.path.isdir(p):
self.pan_folder = str(p)
break
for p in Path(ms_root).rglob(self.MS_FOLDER_PATTERN):
if os.path.isdir(p):
self.ms_folder = str(p)
break
if self.ms_folder is None or self.pan_folder is None:
raise ValueError('No MS and/or PAN folder found')
self.pan_list, r_pan, c_pan, res = self._find_tiles(self.pan_folder)
tile_p = otb.Registry.CreateApplication('TileFusion')
lst = [x + self.OPT_IN for x in self.pan_list]
tile_p.SetParameterStringList('il', lst)
tile_p.SetParameterInt('rows', r_pan)
tile_p.SetParameterInt('cols', c_pan)
tile_p.Execute()
fn = os.path.basename(self.pan_list[-1]).replace(res, 'FULL')
ty = self.REF_TYPE
self.append(tile_p, fn, ty, 'out', is_output=True)
self.ms_list, r_ms, c_ms, res = self._find_tiles(self.ms_folder)
tile_ms = otb.Registry.CreateApplication('TileFusion')
lst = [x + self.OPT_IN for x in self.ms_list]
tile_ms.SetParameterStringList('il', lst)
tile_ms.SetParameterInt('rows', r_ms)
tile_ms.SetParameterInt('cols', c_ms)
tile_ms.Execute()
fn = os.path.basename(self.ms_list[-1]).replace(res, 'FULL')
ty = self.REF_TYPE
self.append(tile_ms, fn, ty, 'out', is_output=True)
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def to_toa(self, clamp=True):
proc_idx = self.out_idx.copy()
self.out_idx = []
for p in proc_idx:
fn = self.files[p].replace('_FULL', '_FULL_TOA')
toa = otb.Registry.CreateApplication('OpticalCalibration')
toa.SetParameterInputImage('in', self.pipe[p].GetParameterOutputImage(self.out_p[p]))
toa.SetParameterInt('clamp', int(clamp))
toa.Execute()
self.append(toa)
bm = otb.Registry.CreateApplication('BandMathX')
bm.AddImageToParameterInputImageList('il', self.pipe[-1].GetParameterOutputImage('out'))
bm.SetParameterString('exp', '10000*im1')
bm.Execute()
ty = self.REF_TYPE
self.append(bm, fn, ty, 'out', is_output=True)
return
def orthorectify(self, dem_fld, geoid = None):
assert (os.path.isdir(dem_fld))
proc_idx = self.out_idx.copy()
self.out_idx = []
gspc_idx = 0
for t in proc_idx:
ortho = otb.Registry.CreateApplication('OrthoRectification')
ortho.SetParameterString('elev.dem', dem_fld)
if geoid is not None:
assert (os.path.exists(geoid))
ortho.SetParameterString('elev.geoid', geoid)
ortho.SetParameterInputImage('io.in', self.pipe[t].GetParameterOutputImage(self.out_p[t]))
ortho.SetParameterInt('opt.gridspacing', self.GRID_SPC[gspc_idx])
ortho.Execute()
fn = self.files[t].replace(self.RS_LABEL, 'ORTHO')
ty = self.REF_TYPE
self.append(ortho, fn, ty, 'io.out', is_output=True)
gspc_idx += 1
def pansharp(self):
proc_idx = self.out_idx.copy()
self.out_idx = []
assert(len(proc_idx) == 2)
btps = otb.Registry.CreateApplication("BundleToPerfectSensor")
btps.SetParameterInputImage('inp', self.pipe[proc_idx[0]].GetParameterOutputImage(self.out_p[proc_idx[0]]))
btps.SetParameterInputImage('inxs', self.pipe[proc_idx[1]].GetParameterOutputImage(self.out_p[proc_idx[1]]))
btps.SetParameterString('method', 'bayes')
btps.Execute()
fn = self.files[proc_idx[1]].replace(self.MS_LABEL, 'PS')
ty = self.REF_TYPE
self.append(btps, fn, ty, 'out', is_output=True)
def rigid_align(self, ref_img, this_band=0, ref_band=2, geobin_radius=32, num_geobins=128, margin=32, filter=5):
si = otb.Registry.CreateApplication("Superimpose")
si.SetParameterInputImage('inm', self.pipe[-1].GetParameterOutputImage(self.out_p[-1]))
si.SetParameterString('inr', ref_img)
si.Execute()
sz = si.GetImageSize('out')
sz = min(sz[0], sz[1])
geobin_size = 2 * geobin_radius + 1
geobin_spacing = floor((sz - geobin_size * ceil(sqrt(num_geobins)) - 2 * margin) / 4)
sh = compute_displacement(si, to_otb_pipeline(ref_img), src_band=this_band, tgt_band=ref_band,
out_param_src='out', out_param_tgt='out',
geobin_size=geobin_size, geobin_spacing=geobin_spacing, margin=margin, filter=filter)
if sh is not None:
ref_spc = si.GetImageSpacing('out')
self.shift = (ref_spc[0]*sh[0][1], ref_spc[1]*sh[0][0])
return
def clip(self, roi, buffer=0):
assert(os.path.exists(roi))
proc_idx = self.out_idx.copy()
self.out_idx = []
for t in proc_idx:
spc = self.pipe[t].GetImageSpacing(self.out_p[t])
er = otb.Registry.CreateApplication('ExtractROI')
er.SetParameterInputImage('in', self.pipe[t].GetParameterOutputImage(self.out_p[t]))
er.SetParameterString('mode', 'extent')
ds = ogr.Open(roi)
ly = ds.GetLayer(0)
extent = list(ly.GetExtent())
extent = [extent[0] - buffer, extent[1] + buffer, extent[2] - buffer, extent[3] + buffer]
if spc[0] < 0:
tmp = extent[0]
extent[0] = extent[1]
extent[1] = tmp
if spc[1] < 0:
tmp = extent[2]
extent[2] = extent[3]
extent[3] = tmp
if ly.GetSpatialRef().GetAuthorityCode('PROJCS') == '4326':
er.SetParameterString('mode.extent.unit', 'lonlat')
else:
er.SetParameterString('mode.extent.unit', 'phy')
er.SetParameterFloat('mode.extent.ulx', extent[0])
er.SetParameterFloat('mode.extent.uly', extent[2])
er.SetParameterFloat('mode.extent.lrx', extent[1])
er.SetParameterFloat('mode.extent.lry', extent[3])
ly, ds = None, None
er.Execute()
fn = self.files[t]
ty = self.types[t]
self.append(er, fn, ty, 'out', is_output=True)
def append(self, app, fname=None, ftype=None, outp=None, is_output=False):
if is_output:
self.out_idx.append(len(self.pipe))
self.pipe.append(app)
self.files.append(fname)
self.types.append(ftype)
self.out_p.append(outp)
def write_outputs(self, fld, roi=None, update_pipe=False, compress=False):
out = []
out_idx_bck = proc_idx = self.out_idx.copy()
if roi is not None:
pipe_length = len(self.pipe)
self.clip(roi)
proc_idx = self.out_idx.copy()
if update_pipe:
assert roi is None, 'Cannot set output files as pipe input over a ROI.'
self.out_idx = []
out_file = os.path.join(fld, self.files[t])
if compress:
out_file += '?gdal:co:compress=deflate&gdal:co:bigtiff=yes'
if not os.path.exists(os.path.dirname(out_file)):
os.makedirs(os.path.dirname(out_file))
self.pipe[t].SetParameterString(self.out_p[t], out_file)
self.pipe[t].SetParameterOutputImagePixelType(self.out_p[t], self.types[t])
self.pipe[t].ExecuteAndWriteOutput()
if self.shift is not None:
print("INFO: Applying shift {} to current outputs.".format(self.shift))
ds = gdal.Open(out_file, 1)
geot = list(ds.GetGeoTransform())
geot[0] += self.shift[0]
geot[3] += self.shift[1]
ds.SetGeoTransform(tuple(geot))
ds = None
out.append(out_file)
if update_pipe:
self.append(to_otb_pipeline(out_file), self.files[t], self.types[t], 'out', is_output=True)
if update_pipe:
self.shift = None
if roi is not None:
self.out_idx = out_idx_bck
self.pipe = self.pipe[:pipe_length]
self.files = self.files[:pipe_length]
self.types = self.types[:pipe_length]
self.out_p = self.out_p[:pipe_length]
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class PleiadesOrthoPipeline(SPOT67RasterPipeline):
# BEGIN PLEIADES (ORT) VHR PROTOTYPE
MS_FOLDER_PATTERN = 'IMG_PHR*_MS_*'
PAN_FOLDER_PATTERN = 'IMG_PHR*_P_*'
TILE_PATTERN = '*_R*C*.TIF'
NDT = 0.0
REF_TYPE = otb.ImagePixelType_uint16
MS_LABEL = 'MS'
OPT_IN = ''
class PleiadesOrthoAutoMosaicPipeline:
def __init__(self, mosaic_root, pattern, out_fld):
lst = sorted(glob.glob(os.path.join(mosaic_root, pattern)))
lst = [x for x in lst if os.path.isdir(x)]
self.scene_list = [PleiadesOrthoPipeline(x) for x in lst]
self.processed_scenes = []
self.out_fld = out_fld
def process_scenes(self, roi=None, compress=False):
for s in self.scene_list:
s.to_toa()
if roi is not None and os.path.exists(roi):
s.clip(roi)
s.write_outputs(self.out_fld, update_pipe=True, compress=compress)
s.pansharp()
self.processed_scenes.extend(s.write_outputs(self.out_fld, compress=compress))
return
def generate_mosaic(self, vrt=True):
if len(self.processed_scenes) > 0:
lst = self.processed_scenes
fn = lst[0].split('_')
fn[-3] = 'MOSAIC'
fn = '_'.join(fn)
if vrt is True:
vrtopt = gdal.BuildVRTOptions()
fn = fn.replace('.TIF', '.vrt')
gdal.BuildVRT(fn, lst, options=vrtopt)
else:
print('Not implemented yet.')
return fn
else:
print('Preprocess scenes first.')
return None