[drivers] add meta attribute 'looks' for BEAM_DIMAP and SAFE

Author: johntruckenbrodt

pyroSAR/drivers.py

@@ -835,6 +835,8 @@ def get_by_name(attr, section='Abstracted_Metadata'):
         meta['polarizations'] = list(set([x for x in pols if '-' not in x]))
         meta['spacing'] = (round(float(get_by_name('range_spacing', section=section)), 6),
                            round(float(get_by_name('azimuth_spacing', section=section)), 6))
+        meta['looks'] = (float(get_by_name('range_looks', section=section)),
+                         float(get_by_name('azimuth_looks', section=section)))
         meta['samples'] = int(self.root.find('.//BAND_RASTER_WIDTH').text)
         meta['lines'] = int(self.root.find('.//BAND_RASTER_HEIGHT').text)
         meta['bands'] = int(self.root.find('.//NBANDS').text)
@@ -2048,14 +2050,23 @@ def scanMetadata(self):
             sp_rg = [float(x.find('.//rangePixelSpacing').text) for x in ann_trees]
             sp_az = [float(x.find('.//azimuthPixelSpacing').text) for x in ann_trees]
             meta['spacing'] = (median(sp_rg), median(sp_az))
+            
+            looks_rg = [float(x.find('.//rangeProcessing/numberOfLooks').text) for x in ann_trees]
+            looks_az = [float(x.find('.//azimuthProcessing/numberOfLooks').text) for x in ann_trees]
+            meta['looks'] = (median(looks_rg), median(looks_az))
+            
             samples = [x.find('.//imageAnnotation/imageInformation/numberOfSamples').text for x in ann_trees]
             meta['samples'] = sum([int(x) for x in samples])
+            
             lines = [x.find('.//imageAnnotation/imageInformation/numberOfLines').text for x in ann_trees]
             meta['lines'] = sum([int(x) for x in lines])
+            
             heading = median(float(x.find('.//platformHeading').text) for x in ann_trees)
             meta['heading'] = heading if heading > 0 else heading + 360
+            
             incidence = [float(x.find('.//incidenceAngleMidSwath').text) for x in ann_trees]
             meta['incidence'] = median(incidence)
+            
             meta['image_geometry'] = ann_trees[0].find('.//projection').text.replace(' ', '_').upper()
 
         return meta