コード例 #1
0
def maskSampleSelection(path, raster, maskmer, ram):

    tifMasqueMer = os.path.join(path, 'masque_mer.tif')
    bmapp = OtbAppBank.CreateBandMathApplication({
        "il": raster,
        "exp": "im1b1*0",
        "ram": ram,
        "pixType": 'uint8',
        "out": tifMasqueMer
    })
    bmapp.ExecuteAndWriteOutput()

    maskmerbuff = os.path.join(
        path,
        os.path.splitext(os.path.basename(maskmer))[0] + '_buff.shp')
    BufferOgr.bufferPoly(maskmer, maskmerbuff, 500)

    tifMasqueMerRecode = os.path.join(path, 'masque_mer_recode.tif')
    rastApp = OtbAppBank.CreateRasterizationApplication(
        maskmerbuff, tifMasqueMer, 1, tifMasqueMerRecode)
    rastApp.Execute()
    #command = "gdal_rasterize -burn 1 %s %s"%(maskmerbuff, tifMasqueMer)
    #os.system(command)

    out = os.path.join(path, 'mask.tif')
    bmapp = OtbAppBank.CreateBandMathApplication({
        "il": [raster, rastApp],
        "exp": "((im1b1==0) || (im1b1==51)) && (im2b1==0)?0:1",
        "ram": ram,
        "pixType": 'uint8',
        "out": out
    })
    bmapp.ExecuteAndWriteOutput()

    return out
コード例 #2
0
ファイル: Regularization.py プロジェクト: inglada/iota2
def rastToVectRecode(path, classif, vector, outputName, ram = "10000", dtype = "uint8", valvect = 255, valrastout = 255):

    """
    Convert vector in raster file and change background value 

    Parameters
    ----------
    path : string
        working directory
    classif : string
        path to landcover classification
    vector : string
        vector file to rasterize
    outputName : string
        output filename and path
    ram : string
        ram for OTB applications
    dtype : string
        pixel type of the output raster
    valvect : integer
        value of vector to search
    valrastout : integer
        value to use to recode
    """

    # Empty raster
    bmapp = OtbAppBank.CreateBandMathApplication({"il": classif,
                                                "exp": "im1b1*0",
                                                "ram": str(1 * float(ram)),
                                                "pixType": dtype,
                                                "out": os.path.join(path, 'temp.tif')})
    #bandMathAppli.ExecuteAndWriteOutput()
    p = mp.Process(target=executeApp, args=[bmapp])
    p.start()
    p.join()

    # Burn
    tifMasqueMerRecode = os.path.join(path, 'masque_mer_recode.tif')
    rastApp = OtbAppBank.CreateRasterizationApplication({"in" : vector,
                                                       "im" : os.path.join(path, 'temp.tif'),
                                                       "background": 1,
                                                       "out": tifMasqueMerRecode})

    #bandMathAppli.ExecuteAndWriteOutput()
    p = mp.Process(target=executeApp, args=[rastApp])
    p.start()
    p.join()

    # Differenciate inland water and sea water
    bandMathAppli = OtbAppBank.CreateBandMathApplication({"il": [classif, tifMasqueMerRecode],
                                                          "exp": "(im2b1=={})?im1b1:{}".format(valvect, valrastout),
                                                          "ram": str(1 * float(ram)),
                                                          "pixType": dtype,
                                                          "out": outputName})

    #bandMathAppli.ExecuteAndWriteOutput()
    p = mp.Process(target=executeApp, args=[bandMathAppli])
    p.start()
    p.join()
    os.remove(tifMasqueMerRecode)