Update

geosentinel/Index.py

@@ -37,6 +37,7 @@ class Index(object):
 
         Args:
             self: The object pointer.
+            ResolSize (str): destination directory.
             IndexType (str): # NDVI  - Normalized Difference Vegetation Index, NDWI - Normalized Difference Water Index, NBAI - Normalized Built-up Area Index
 
         Returns:

geosentinel/Merge.py

@@ -6,40 +6,41 @@ Example:
         $ python -m doctest -v Merge.py
 """
 
-""" Class for Sentinel satellites configuration
-Test Case
-
- """
-
 import os,sys
 from os.path import expanduser
 home = expanduser("~")
 a=os.path.join(os.path.expandvars(home),".snap/snap-python/")
 sys.path.append(a)
-import cv2
 import snappy,numpy
 from snappy import jpy,ProductData,ProgressMonitor,ProductUtils
 from tools import (tools)
 from readProduct import (readProduct)
-jpy = snappy.jpy
-Color = jpy.get_type('java.awt.Color')
-ColorPoint = jpy.get_type('org.esa.snap.core.datamodel.ColorPaletteDef$Point')
-ColorPaletteDef = jpy.get_type('org.esa.snap.core.datamodel.ColorPaletteDef')
-ImageInfo = jpy.get_type('org.esa.snap.core.datamodel.ImageInfo')
-ImageLegend = jpy.get_type('org.esa.snap.core.datamodel.ImageLegend')
-JAI = jpy.get_type('javax.media.jai.JAI')
-System = jpy.get_type('java.lang.System')
-System.setProperty('com.sun.media.jai.disableMediaLib', 'true')
 
 class Merge(object):
-
+    """ Class for Sentinel satellites configuration
+    Test Case
+    >>> Files = tools("all") #IW_SLC,IW_GRDH,MSIL1C
+    >>> dir="make/"
+    >>> platform='Sentinel-2'
+    >>> list_files=Files.findFilesSentinel(dir,platform,4)#4 for resample_subset.dim
+    >>> print 'There is/are %d ' % len(list_files) + platform + ' file(s)'
+    >>> Read=readProduct(dir,platform)
+    >>> TypeMerge="RGB"
+    >>> Mergee=Merge("60",TypeMerge)
+    >>> for image in list_files:
+    ...     file = dir + image
+    ...     print"Applying SubSet... ", image
+    ...     product=Read.ReadFilesSentinel(file,2)#The flag 2 ReadFiles .dim
+    ...     Mergee.merges(product, file)
+     """
 
     def __init__(self,ResolSize,TypeMerge):
         """The constructor Initialize Sentinel Data.
 
         Args:
             self: The object pointer.
-            folder (str): destination directory.
+            ResolSize (str): destination directory.
+            TypeMerge (str): RGB
 
         Returns:
             pointer: The object pointer.
@@ -53,104 +54,24 @@ class Merge(object):
         self.ImageManager = jpy.get_type('org.esa.snap.core.image.ImageManager')
         (self.h, self.w) = (None, None)
 
-    def merges(self,product, products,file):
-        ##blue = product.getBand('B2')
-        ##green = product.getBand('B3')
-        ##red = product.getBand('B4')
-        ##width = product.getSceneRasterWidth()
-        ##height = product.getSceneRasterHeight()
-
-        ##RGB = [green,red, blue]#Bueno
-        #################################################################################
-        #RES = []
-        #for i in range(len(RGB)):
-        #    Band = ProductData.createInstance(numpy.zeros((width, height), numpy.uint16))
-        #    RGB[i].readRasterData(0, 0, width, height, Band)
-        #    RES.append(Band)
-
-        # Image without georreference
-        ##info = ProductUtils.createImageInfo(RGB, True, ProgressMonitor.NULL)
-        ##image = ProductUtils.createRgbImage(RGB, info, ProgressMonitor.NULL)
-
-        # print"Wrinting PNG..."
-        ##salida = file[:-4] + self.Type_Merge + self.ext
-        ##savefile = self.File(salida)
-        ##self.looks.writeImage(image, savefile)
-        ######################################################################################
-
-        #salida = file[:-5] + self.Type_Merge+ self.ext
-        #image_info = ProductUtils.createImageInfo(RGB, True, ProgressMonitor.NULL)
-        #im = self.ImageManager.getInstance().createColoredBandImage(RGB, image_info, 0)
-        #JAI.create("filestore", im, salida, "JPEG-LS")
-
-        ##TotImage = len(products)
-        ##print"IMAGES...",products
-        #sys.exit()
-        # Get Raster
-        #dataset1 = gdal.Open(products[2], GA_ReadOnly)
-        #dataset2 = gdal.Open(products[1], GA_ReadOnly)
-        #dataset3 = gdal.Open(products[0], GA_ReadOnly)
-        ##dataset1=cv2.imread(products[2], cv2.IMREAD_UNCHANGED)#B4 R
-        ##dataset2=cv2.imread(products[1], cv2.IMREAD_UNCHANGED)#B3 G
-        ##dataset3=cv2.imread(products[0], cv2.IMREAD_UNCHANGED)#B2 B
-
-        ##salida = file[:-5] + self.Type_Merge
-
-        ##image = cv2.merge((dataset3, dataset2, dataset1))
+    def merges(self, product, file):
+        """Index Files Sentinel
 
-        ##cv2.imwrite(salida + '.jpg', image)
-        ########################################################################
+         Args:
+             self (pointer): The object pointer.
+             product (bin): Metadata Sentinel.
+             file (str): local path to image.
 
-        red = Image.open(products[2]).convert('L')
-        blue = Image.open(products[0])
-        green = Image.open(products[1])
+         """
+        blue = product.getBand('B2')
+        green = product.getBand('B3')
+        red = product.getBand('B4')
 
-        out = Image.merge("RGB", (red, green, blue))
-        out.save("img-out.TIF") #https://gis.stackexchange.com/questions/180534/merge-rgb-band-using-python
-        #https://stackoverflow.com/questions/30227466/combine-several-images-horizontally-with-python
-        #https://gist.github.com/glombard/7cd166e311992a828675
-        #https://pillow.readthedocs.io/en/3.1.x/reference/Image.html
-        #https://stackoverflow.com/questions/32812547/working-with-jp2-image-on-python-pillow
+        RGB = [red, green, blue]
 
-    def search_band_combination(self,sentinel_image, Type_Merge):
-        Granule = "/GRANULE"
-        path = sentinel_image + Granule
-        file = os.listdir(path)
-        path = path + "/" + file[0]
-        Img_Data = "/IMG_DATA"
-        path = path + Img_Data
-        file = os.listdir(path)
-        products = []
-        if Type_Merge == "RGB":
-            ext1 = "B04.jp2"
-            ext2 = "B03.jp2"
-            ext3 = "B02.jp2"
-            raster = [f for f in file if f.endswith(ext1) or f.endswith(ext2) or f.endswith(ext3)]
-        for raster in raster:
-            product = path + "/" + raster
-            a = os.path.join(os.path.expandvars(home), product)
-            products.append(a)
-        #combinations_bands_sentinel(sentinel_image, Type_Merge, products)
-        return products
+        info = ProductUtils.createImageInfo(RGB, True, ProgressMonitor.NULL)
+        image = ProductUtils.createRgbImage(RGB, info, ProgressMonitor.NULL)
 
-#Applying Index Flag=3 Search .dim files
-#Find Sentinel Files
-Files = tools("all") #IW_SLC,IW_GRDH,MSIL1C
-#dir="C:\Users\Garantias723\Documents\Poncho\Image_Sentinel"
+        salida = file[:-4] + self.Type_Merge + self.ext
+        savefile = self.File(salida)
+        self.looks.writeImage(image, savefile)
\ No newline at end of file
-dir="make/"
-platform='Sentinel-2'
-list_files=Files.findFilesSentinel(dir,platform,2)#4 for resample_subset.dim
-print 'There is/are %d ' % len(list_files) + platform + ' file(s)'
-#Read Sentinel Files
-Read=readProduct(dir,platform)
-#Applying Resampling
-TypeMerge="RGB"
-Mergee=Merge("60",TypeMerge)
-for image in list_files:
-    #file = dir + "/" + image
-    file = dir + image
-    products=Mergee.search_band_combination(file, TypeMerge)
-    print"Applying SubSet... ", image
-    product=Read.ReadFilesSentinel(file,2)#The flag 2 ReadFiles .dim
-    Mergee.merges(product,products,file)
-    #Mergee.merges(product, file)
\ No newline at end of file