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bands2RGB.py
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# -*- coding: utf-8 -*-
"""
bands2RGB.py
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Leandro França'
__date__ = '2020-08-23'
__copyright__ = '(C) 2020, Leandro França'
from PyQt5.QtCore import QCoreApplication, QVariant
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsWkbTypes,
QgsFields,
QgsField,
QgsFeature,
QgsPointXY,
QgsGeometry,
QgsProcessingException,
QgsProcessingAlgorithm,
QgsProcessingParameterString,
QgsProcessingParameterField,
QgsProcessingParameterBoolean,
QgsProcessingParameterCrs,
QgsProcessingParameterEnum,
QgsFeatureRequest,
QgsExpression,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterFeatureSink,
QgsProcessingParameterFileDestination,
QgsProcessingParameterRasterLayer,
QgsProcessingParameterRasterDestination,
QgsApplication,
QgsProject,
QgsRasterLayer,
QgsCoordinateTransform,
QgsCoordinateReferenceSystem)
import processing
import gdal
from osgeo import osr, gdal_array
class Bands2RGB(QgsProcessingAlgorithm):
LOC = QgsApplication.locale()
def translate(self, string):
return QCoreApplication.translate('Processing', string)
def tr(self, *string):
# Traduzir para o portugês: arg[0] - english (translate), arg[1] - português
if self.LOC == 'pt':
if len(string) == 2:
return string[1]
else:
return self.translate(string[0])
else:
return self.translate(string[0])
def createInstance(self):
return Bands2RGB()
def name(self):
return 'bands2rgb'
def displayName(self):
return self.tr('RGB Composite', 'Composição RGB')
def group(self):
return self.tr('LF Raster')
def groupId(self):
return 'lf_raster'
def shortHelpString(self):
txt_en = 'Combine three image bands into one picture by display each band as either Red, Green or Blue.'
txt_pt = 'Realiza a combinação de três bandas em uma única imagem, apresentando-as nas bandas vermelha (R), verde (G) e Azul (B).'
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'instagram': 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'linkedin': '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', 'RG': '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', 'tweeter': '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', 'udemy': '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', 'youtube': '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'}
footer = '''<div align="right">
<p align="right"><b>'''+self.tr('Author: Leandro Franca', 'Autor: Leandro França')+'''</b></p>
<div align="right">
<a target="_blank" rel="noopener noreferrer" href="https://www.udemy.com/user/leandro-luiz-silva-de-franca/"><img title="Udemy" src="data:image/png;base64,'''+dic_BW['udemy']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.facebook.com/GEOCAPT/"><img title="Facebook" src="data:image/png;base64,'''+dic_BW['face']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/channel/UCLrewDGciytcBG9r0OxTW2w"><img title="Youtube" src="data:image/png;base64,'''+dic_BW['youtube']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.researchgate.net/profile/Leandro_Franca2"><img title="ResearchGate" src="data:image/png;base64,'''+dic_BW['RG']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://github.com/LEOXINGU"><img title="GitHub" src="data:image/png;base64,'''+dic_BW['github']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/in/leandro-fran%C3%A7a-93093714b/"><img title="Linkedin" src="data:image/png;base64,'''+dic_BW['linkedin']+'''"></a> <a target="_blank" rel="noopener noreferrer" href="http://lattes.cnpq.br/8559852745183879"><img title="Lattes" src="data:image/png;base64,'''+dic_BW['lattes']+'''"></a>
</div>
</div>'''
if self.LOC == 'pt':
return txt_pt + footer
else:
return self.tr(txt_en) + footer
R = 'R'
G = 'G'
B = 'B'
RGB = 'RGB'
OPEN = 'OPEN'
def initAlgorithm(self, config=None):
# INPUT
self.addParameter(
QgsProcessingParameterRasterLayer(
self.R,
self.tr('Red Band', 'Banda Vermelha (R)'),
[QgsProcessing.TypeRaster]
)
)
self.addParameter(
QgsProcessingParameterRasterLayer(
self.G,
self.tr('Green Band', 'Banda Verde (G)'),
[QgsProcessing.TypeRaster]
)
)
self.addParameter(
QgsProcessingParameterRasterLayer(
self.B,
self.tr('Blue Band', 'Banda Azul (B)'),
[QgsProcessing.TypeRaster],
)
)
# OUTPUT
self.addParameter(
QgsProcessingParameterFileDestination(
self.RGB,
self.tr('RGB Composite', 'Composição RGB'),
fileFilter = '.tif'
)
)
self.addParameter(
QgsProcessingParameterBoolean(
self.OPEN,
self.tr('Load RGB output', 'Carregar RGB de saída'),
defaultValue= True
)
)
def processAlgorithm(self, parameters, context, feedback):
Band_R = self.parameterAsRasterLayer(
parameters,
self.R,
context
)
if Band_R is None:
raise QgsProcessingException(self.invalidSourceError(parameters, self.R))
Band_G = self.parameterAsRasterLayer(
parameters,
self.G,
context
)
if Band_G is None:
raise QgsProcessingException(self.invalidSourceError(parameters, self.G))
Band_B = self.parameterAsRasterLayer(
parameters,
self.B,
context
)
if Band_B is None:
raise QgsProcessingException(self.invalidSourceError(parameters, self.B))
RGB_Output = self.parameterAsFileOutput(
parameters,
self.RGB,
context
)
Carregar = self.parameterAsBool(
parameters,
self.OPEN,
context
)
# Abrir banda R
image = gdal.Open(Band_R.dataProvider().dataSourceUri())
bandR = image.GetRasterBand(1).ReadAsArray()
prj=image.GetProjection()
geotransform = image.GetGeoTransform()
# Abrir banda G
image = gdal.Open(Band_G.dataProvider().dataSourceUri())
bandG = image.GetRasterBand(1).ReadAsArray()
# Abrir banda B
image = gdal.Open(Band_B.dataProvider().dataSourceUri())
bandB = image.GetRasterBand(1).ReadAsArray()
# Criar objeto CRS
CRS=osr.SpatialReference(wkt=prj)
# Obter número de linhas e colunas
n_col = image.RasterXSize
n_lin = image.RasterYSize
image=None # Fechar imagem
# Pegar tipo de dado do array
GDT = gdal_array.NumericTypeCodeToGDALTypeCode(bandB.dtype)
# Criar imagem RGB
RGB = gdal.GetDriverByName('GTiff').Create(RGB_Output, n_col, n_lin, 3, GDT)
RGB.SetGeoTransform(geotransform) # specify coords
RGB.SetProjection(CRS.ExportToWkt()) # export coords to file
RGB.GetRasterBand(1).WriteArray(bandR) # write R band to the raster
RGB.GetRasterBand(2).WriteArray(bandG) # write G band to the raster
RGB.GetRasterBand(3).WriteArray(bandB) # write B band to the raster
RGB.FlushCache() # Escrever no disco
RGB = None # Salvar e fechar
CRS = None
feedback.pushInfo(self.tr('Operation completed successfully!', 'Operação finalizada com sucesso!'))
feedback.pushInfo('Leandro França - Eng Cart')
self.CAMINHO = RGB_Output
self.CARREGAR = Carregar
return {self.RGB: RGB_Output}
def postProcessAlgorithm(self, context, feedback):
if self.CARREGAR:
rlayer = QgsRasterLayer(self.CAMINHO, self.tr('RGB Composite', 'Composição RGB'))
QgsProject.instance().addMapLayer(rlayer)
return {}