Skip to main content

Ph.D. Work Leveraging DIRSIG

Last week, Brian Flusche (one of our students) defended his Ph.D. dissertation entitled "Analysis of Multi-Modal Fusion for Target Detection in an Urban Environment". Brian's research reflects how many people are using DIRSIG to simulate data in an effort to explore the value of new and novel exploitation schemes. In this case, Brian was trading the value of hyper-spectral imaging vs. polarimetric imaging vs. a combination of the two for doing target detection in an urban environment. In addition to his great use of DIRSIG (you can't expect us to be unbiased!), Brian was able to draw some very interesting and valuable conclusions.

It you would like too watch his defense, it was recorded and is available here. A copy of his dissertation is available here.

The DIRSIG Team would like to congratulate Brian on his work and the successful defense of his Ph.D research. Good job, Dr. Brian.

Comments

Popular posts from this blog

LIDAR Point Cloud Visualization

A common question we get asked is how to visualize the point cloud data produced by either the Linear-mode or Geiger-mode LIDAR simulations. First, you should remember that the point cloud files produced by the "APD Processor" are simple ASCII/text files. Each line is the entry for a single return or "point" in the point cloud, including the point location and some attributes that vary depending on whether you modeled a Linear-mode or Geiger-mode system. For a Linear-mode system, a point cloud file will generally look like the example below: 12.7388 -45.3612 -0.0256 5.0290 0 0 0 0 12.8169 -45.3612 -0.0264 4.8362 0 1 0 0 12.8950 -45.3612 -0.0271 4.8362 0 2 0 0 ... 32.4008 -25.5446 10.5945 4.6783 0 65533 0 0 32.4781 -25.5446 10.5953 5.8959 0 65534 0 0 32.5360 -25.5640 12.5408 5.9185 0 65535 0 0 The first three columns are the X/Y/Z location of the point return. The 4th column is the intensity (in photons). Since Linear mode can support multiple returns per pulse, t...

Using MODTRAN6 with DIRSIG

It has been a pretty exciting year for the team at Spectral Sciences, Inc.  with the release of MODTRAN6 . This latest version marks a major milestone in the continued development of one of the most popular and trusted codes for simulating radiative transfer in the atmosphere. In addition to important science related advancements, this latest code also includes significant improvements to the general usability of the software. This includes a new graphical user interface (GUI) and the introduction of a formal application programmer interface (API), which let's codes like DIRSIG interact with MODTRAN in a far more robust way than previous versions allowed. New MODTRAN, new interfaces The major development in the interface area is a shift from the old "tape5" style inputs to a new JSON (JavaScript Object Notation) style input. In addition to improving the general readability of the input, the JSON document format is much easier to read in, modify and write back out. The...

DIRSIG5: An introduction, a timeline and a paper

Although we will be devoting more time to this topic in the blog, many of you are aware that the next generation version of DIRSIG (aka DIRSIG5) has been under development for the past 2 years. This was a ground-up, restart from zero, etc. effort that establishes the DIRSIG modeling toolkit for the next decade. New core, new approach Although we have developed a compatibility layer to allow existing DIRSIG4 simulations to run, the DIRSIG5 model is radically different under the hood. The lightweight and highly optimized radiometry core uses a different numerical radiometry (light transport) approach than we used in DIRSIG4. In addition to being faster (less work to get an accurate answer) this algorithm is far better suited for parallelization. As a result, we have implemented micro-scale parallelization (multi-threading on multi-core CPUs) from the start and work on macro-scale parallelization (MPI distribution on cluster-style computing) is getting underway. This radiometry core al...