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collapseMenu=cfg.SCPD.addMenuItem(m, cfg.SCPD.collapseMenu, 'semiautomaticclassificationplugin_docks.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Collapse/expand all'), cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Collapse/expand all macroclasses'))
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m.addSeparator()
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changeMacroclassMenu=cfg.SCPD.addMenuItem(m, cfg.SCPD.changeMacroclassMenu, 'semiautomaticclassificationplugin_enter.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Change MC ID'), cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Change MC ID for highlighted items'))
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changeColorMenu=cfg.SCPD.addMenuItem(m, cfg.SCPD.changeColorMenu, 'semiautomaticclassificationplugin_enter.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Change color'), cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Change color for highlighted items'))
changeMacroclassMenu=cfg.ipt.addMenuItem(m, cfg.SCPD.changeMacroclassMenu, 'semiautomaticclassificationplugin_enter.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Change MC ID for highlighted items'))
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addSignaturesPlotMenu=cfg.SCPD.addMenuItem(m, cfg.SCPD.addSignatureToSpectralPlot, 'semiautomaticclassificationplugin_sign_tool.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Add to spectral plot'), cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Add highlighted items to spectral plot'))
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addScatterPlotMenu=cfg.SCPD.addMenuItem(m, cfg.SCPD.addROIToScatterPlot, 'semiautomaticclassificationplugin_scatter_tool.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Add to scatter plot'), cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Add highlighted items to scatter plot'))
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propertiesMenu=cfg.SCPD.addMenuItem(m, cfg.SCPD.propertiesMenu, 'semiautomaticclassificationplugin_accuracy_tool.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Properties'), cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Properties for highlighted items'))
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m.addSeparator()
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addSignaturesPlotMenu=cfg.ipt.addMenuItem(m, cfg.SCPD.addSignatureToSpectralPlot, 'semiautomaticclassificationplugin_sign_tool.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Add highlighted items to spectral plot'))
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addScatterPlotMenu=cfg.ipt.addMenuItem(m, cfg.SCPD.addROIToScatterPlot, 'semiautomaticclassificationplugin_scatter_tool.svg', cfg.QtWidgetsSCP.QApplication.translate('semiautomaticclassificationplugin', 'Add highlighted items to scatter plot'))
<description><![CDATA[The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.]]></description>
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<about><![CDATA[Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. Search and download is available for ASTER, GOES, Landsat, MODIS, Sentinel-1, Sentinel-2, and Sentinel-3 images. Several algorithms are available for the land cover classification. This plugin requires the installation of GDAL, OGR, Numpy, SciPy, and Matplotlib. Some tools require also the installation of SNAP (ESA Sentinel Application Platform). For more information please visit https://fromgistors.blogspot.com .]]></about>
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