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The Pancam Operations Toolkit is a Python application and library primarily intended for processing data from the Pancam instrument on the Rosalind Franklin rover, although it lends itself to any task involving processing multispectral image data. For example, with PCOT you can: load ENVI (BSQ interleaved 4-byte float) and (to a basic level) PDS4 multispectral images load multiple images in other formats (e.g. PNG) and combine them into multispectral images define regions of interest in the data perform mathematical operations view spectra and histograms and many other things besides. PCOT is highly extensible and open-source, so any missing functionality is easily added. PCOT operates on a graph model - the data is processed through a set of nodes which manipulate it in various ways (e.g. add regions of interest, perform maths, splice images together, merge image channels, plot spectra). A PCOT document describes this graph, and we intend that documents are distributed along with the data they generate to help reproducibility.
If you use this software, please cite it using the metadata from this file.
geology, spectroscopy, multispectral, uncertainty, image processing
geology, spectroscopy, multispectral, uncertainty, image processing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |