wxGUI.iclass(1)

📦
version 8.4.2 · 10 versions
, in fedora 44

💖 wxGUI.iclass 💖

okay bestie, listen up — this is the wxGUI Supervised Classification Tool, aka wxIClass, and it lives in the GRASS GIS User's Manual. manual page name is wxGUI.iclass(1), no cap. 🎀

✨ KEYWORDS ✨

display, GUI, imagery, classification, supervised classification

like, that's the vibe check in one line. 🦋

🌸 DESCRIPTION 🌸

so the Supervised Classification Tool (wxIClass) is a wxGUI component that lets you make training areas and generate spectral signatures. the signature file you get out of it? you can feed it straight into i.maxlik, or use it as a seed signature file for i.cluster. iconic behavior fr fr. 💅

you can launch wxIClass from the Layer Manager menu at Imagery → Classify image → Interactive input for supervised classification, or just hit it from the command line as g.gui.iclass. either way, main character energy. 👑

right now wxIClass lets you do all of this:

  • create training areas (using a customized vector digitizer) ✏️
  • show histograms for each band and class (category) 📊
  • show coincidence plots for each band 📈
  • show raster cells that match training areas (within the number of standard deviations specified) 🔍
  • specify color of class 🎨
  • write signature file 📝
  • import vector map 📥
  • export vector map with attribute table 📤

wxIClass does the first pass in the GRASS two-pass supervised image classification process; the GRASS module i.maxlik does the second pass. you literally have to run both programs to get a classified map in GRASS raster format. both. not one. both. 🫶

wxIClass is an interactive program, which means you get to create multiple training areas for multiple classes and it calculates the spectral signatures based on the cells that fall within those training areas. while that's happening, it shows you histograms for each image band. you can also display the cells of the image bands that fall within a user-specified number of standard deviations from the means in the spectral signature. doing that lets you see how much of the image is likely to get sorted into the class that goes with that signature. it's giving foresight. 🔮

the spectral signatures themselves are made of region means and covariance matrices. those region means and covariance matrices are what the second pass (i.maxlik) uses to classify the image. so like, don't skip them, they're the whole point. 💀

alternatively? the spectral signatures wxIClass makes can be used for seed means for the clusters in i.cluster. options, bestie. we love options. 🌈

👀 SEE ALSO 👀

  • wxGUI
  • wxGUI components
  • Interactive Scatter Plot Tool

also check out the user wiki page and the development page. iykyk. ⭐

👑 AUTHORS 👑

  • Anna Kratochvilova, Czech Technical University in Prague, Czech Republic
  • Vaclav Petras, Czech Technical University in Prague, Czech Republic

absolute legends, we stan. 💜

💻 SOURCE CODE 💻

available at: wxGUI Supervised Classification Tool source code (history)

accessed: Saturday Jan 17 05:42:35 2026

indexes, for your scrolling pleasure: Main index | GUI index | Topics index | Keywords index | Graphical index | Full index

💌 okay that's the whole page, no skips, no shortcuts, every flag and fact accounted for. slay.

© 2003-2025 GRASS Development Team, GRASS GIS 8.4.2 Reference Manual — and this lil manual is running on GRASS 8.4.2, dated Saturday Jan 17 05:42:35 2026, from the GRASS GIS User's Manual. mwah, bye bestie! 💖✨🎀🦋🌸

📦 where this page comes from