Multispectral Cameras, Bayer Mosaics and Image Processing with MATLAB

When editing the images of the MAPIR Survey 2 NDVI camera, I learned a lot about how cameras actually capture and store images. The knowledge was important in order to properly import the images into MATLAB, process them and compute an NDVI image of them. If you do not do it right, you can see it immediately: You do not get a nice picture! Continue reading “Multispectral Cameras, Bayer Mosaics and Image Processing with MATLAB”

Which vector graphics software do you recommend to your students?

The excellent graphics capabilities of MATLAB make it virtually unnecessary to edit graphics with vector graphics software (see blog post “Create Publishable Graphics with MATLAB“). Only very occasionally we need such software, for example to edit graphics that have not been created with MATLAB. Which both commercial and free software do you recommend your to students for this? Continue reading “Which vector graphics software do you recommend to your students?”

Reading and Processing XrdML Files Storing X-Ray Powder Diffraction (XRD) Data With MATLAB

The XrdML file format is used to store X-ray powder diffraction measurements. Since XrdML format using the .xrdml file extension is an XML-based open file format using an ASCII format, reading such files with MATLAB is easy. Here is an example of reading multiple XrdML files from a file directory, convert the files in text files, display the measurements together with standard mineral data from a XRD data base. Continue reading “Reading and Processing XrdML Files Storing X-Ray Powder Diffraction (XRD) Data With MATLAB”

Second Edition of MDRES Released at SpringerNature

Today the 2nd Edition of MDRES was published at SpringerNature, now with the new title “Collecting, Processing and Presenting Geoscientific Information“. The book, with coauthor and designer Dipl.-Ing. (FH) Elisabeth Sillmann from BlaetterwaldDesign, aims at introducing students to searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software.