QPS Qimera 2.9.2

QPS Qimera – Intuitive Multibeam & Hydrographic Data Processing Software

Process, clean, analyze and visualize multibeam echosounder data faster than ever. QPS Qimera delivers full sonar processing for all major manufacturers and survey platforms (surface vessels, ROV, AUV, ASV), with hands-off data import, Dynamic Workflow™, guided steps, automated cleaning, Qimera Live near-real-time gridding, and powerful tools like Patch Test & Wobble Diagnosis — all while remaining remarkably easy to use…

Unlock the next level of speed, reliability, and ease in hydrographic surveying with QPS Qimera 2.9.2. Whether you are processing multibeam echosounder data from surface vessels, ROVs, AUVs, or ASVs, Qimera transforms complex sonar processing into a smooth, guided, and highly efficient workflow.

Built on QPS’s proven technologies and the powerful Dynamic Workflow™, this latest release focuses on greater stability, expanded deep-water capabilities, smarter automation, and critical bug fixes that keep your projects running flawlessly.

What’s New in Qimera 2.9 Series

 New Qimera-command Job: Export to LAS/LAZ
A powerful addition to the command-line toolkit. You can now export source files directly to industry-standard LAS and LAZ formats with a single automated job (export-las). Perfect for batch processing pipelines, seamless integration with external software, and faster delivery of point cloud products.

 Extended NOAA CUBE Parameters for Deep Water
CUBE grid parameters have been significantly expanded to support deep-water survey projects. New grid resolutions of 64 m, 128 m, and 256 m are now fully compliant with NOAA specifications. This gives hydrographic teams greater flexibility and accuracy when working in deep-ocean environments or large-area surveys.

Smarter Workflow Improvements

  • Improved QPD edit handling with intelligent fallback to filename matching when internal IDs do not align
  • Contour labeling option restored for clearer and more professional surface products
  • Enhanced QGFVOM model behaviour when SBET data starts outside the model coverage area
  • Greater overall processing stability and efficiency across large datasets

These enhancements continue Qimera’s core philosophy: automate the routine tasks so operators can focus on the decisions that truly matter.

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