Software
Accuracy, fidelity and cost effectiveness are the standards of SOC's simulation software family of products. Building upon a history of quantitative optical signature analysis, SOC is known worldwide for its high-fidelity multispectral/ hyperspectral modeling and simulation of targets and backgrounds in the ultraviolet through radar wavelengths. SOC's software products are designed with the background and scientific understanding that comes through 30 years of surface optical modeling and measurements.
SOC products are commercially available for Windows and UNIX platforms giving researchers a choice of platforms and access to the wealth of knowledge and expertise that SOC offers. Specialists working in sensor simulation, modeling or analysis in the ultraviolet through radar wavelengths can use SOC products to develop validated radiometrically correct signatures with confidence.
SOC simulations are used in a variety of programs and applications including: FLIR simulation, modeling and design; Radar simulation, modeling and design, IR & radar system analysis, operator training, and more. SOC simulation software supports the analysis, modeling-and-simulation, and visual simulation communities, including government labs and a host of private companies (domestic and international). We also develop custom software solutions in our areas of expertise.
Our Software:
ENSIR™ (ENSembleIR) IR Target and Cultural Feature Signature Analysis Software
SOC has developed a first-principles signature analysis code that incorporates software modules for thermal analysis, atmospheric radiance calculations, signature prediction and radiance mapping. The radiance calculation is based on measured BRDF, HDR and directional emittance data of the surface materials, no data fitting or parameterized models are required. This provides the most fundamental calculation of the target signature. This data is generally produced from the SOC-100 HDR and SOC-200 BDR instruments in a format that is directly read by ENSIR. The radiance module, DETECT, has been incorporated as part of the government standard Optical Signatures Code (OSC) and has been used for many years for producing signatures for strategic target discrimination studies.
An important feature of IR signature analysis is the ability to accurately calculate surface temperatures of the target vehicle. ENSIR provides this ability in the TTRAN module. TTRAN is a fully time-dependent, three-dimensional thermal analysis code.
Features & Benefits
- Fully Validated. ENSIR is the most validated IR signature code on the market. It has been well validated by many government and corporate agencies on many types of targets and backgrounds.
- Accuracy and Speed on a Workstation or PC. ENSIR's unique design allows users to develop high fidelity, radiometrically correct IR signatures on multiple platforms.
- Fully Time Dependent, three dimensional thermal analysis code. ENSIR's TTRAN module is a fully time-dependent, three-dimensional thermal analysis code, which uses lumped element nodal analysis technique. TTRAN supports multiple conductive, convective and radiative heat transfer paths, and produces transient and steady state temperature predictions with aerodynamic and terrestrial radiant environmental boundary conditions.
ENSIR's radiance mapper module provides the capability to distribute the target radiance image into a pixelized display format. The algorithm takes facet radiance's and projects them into a sensor image plane, taking into account range and resolution effects, and accounts for radiance mixing and background fill factors. This provides a convenient interface to sensor models, which convolve sensor MTF effects to produce an image as seen on the sensor display.
ImageMapper: Material Classification Software for Sensor Simulation
ImageMapper™ is a user-friendly software package for determining the material composition of image pixels based on their spectra. Knowing the material composition of a pixel and the related properties of those materials allows realistic sensor simulation in other portions of the electromagnetic spectrum.
ImageMapper's Material Composition Map (MCM), describe the mixture and relative proportion of materials within a pixel. This makes them significantly better for sensor simulation than cartographic products such as VPF and Land-Use/Land Cover data, which assign a single composite material to every pixel.
ImageMapper is simple and easy to use. An analyst displays the image and provides ImageMapper with a set of reference or training pixels by pointing and clicking on base pixels within the image and assigning them to a material. Once the reference spectra are identified ImageMapper takes care of the rest. Based on the associations made by the analyst, the software determines the mixture and proportions of materials for each pixel in the image. This is sometimes referred to as sub-pixel classification.
ImageMapper also includes a rendering engine for producing color, reflectance and radiance images based on the derived MCMs. This provides immediate feedback to the analyst for refinement, correction and quality assurance purposes. The renderings can also be used directly in real-time rendering systems which don't require dynamic changes.
Also included are a set of region definition tools, a set of simple image processing utilities and a workbench for analyzing material properties data.
Features & Benefits
The user does not have to be a material classification expert in order to set up and runImageMapper. The software gives the user:
- Ease of Use
- Flexibility on input (SGI RGB, JPEG, GIF, TIF and GeoTIF or User defined)
- Flexibility on output (SGI RGB, TIF and native)
- Open file formats both on input and output
- An intuitive, easy to use interface for selecting mappings
- Choice of classification algorithms (SAM, MD, and SAM/MD)
- Runs on a broad range of computing platforms (Java based)
- Tools to perform simple image processing tasks
- Built-in infrared radiance and color simulation tools which can be used for:
- for Quality Assurance or
- as direct input into a sensor simulator
- The ability to run, use and evaluate the results of the Lowtran radiative transfer model
- Fast execution speeds (all under Windows 98 on an 700MHz AMD with 256Megs of memory):
- 25 seconds for a 512 by 512 image with 8 reference mappings using SAM/MD classifier, 13 seconds using MD only
- 7 seconds to generate a 512 by 512 color image
- 7 seconds to generate a 512 by 512 radiance image from 0.4 to 0.5 microns
ImageMapper's Material Composition Maps (MCM) can be used for input to a variety of applications.
- Visible, Radar, UV and Infrared Sensor Simulation
- Target Signature Analysis
- Human Factors Design
- Operator Training
- Low observable design
RADBASE™
Surface Optics Corporation has developed a fully validated, user-friendly software product for generating accurate RCS and Amptitude & Phase data for complex targets and cultural features.
System Requirements:
As a Java-based application, RadBase runs on:
- Windows 95™, Windows 98™, Windows NT ™ with a minimum 133 MHz Pentium processor and 64 Mbytes or RAM
- UNIX and Linux with a minimum 64Mbytes of RAM
Physics Based:
Calculates RCS values using a hybrid geometrical / physical optics approach and includes the following effects:
- Blocking
- Multiple Bounce Interaction
- Edge Diffraction
- Polarization
- Dielectric Materials
- Bistatic Computations
Features & Benefits:
- User specific parameters include frequency (.1-100 GHz), elevation angles, azimuth angles, bistatic options and output format
- Supports many 3-D model formats:
- STK (.mdl)
- Open Flight (.flt)
- ACAD & Demaco (.facet)
- Object (.obj)
- Accuracy and speed on a PC or workstation
- Ability to assign complex radar treatments to the object being modeled
Dielectric Materials
Users now have the ability to assign complex treatments to the object being modeled. Each facet of an object can have its own unique material or radar treatment. Users can build their own materials and radar treatments without ever having to edit a file. All material input, treatment design and treatment assignments are performed with RadBase’s easy to use GUI’s
Applications:
- Radar Simulations
- Target Signature Analysis
- Radar System Analysis
- Radar System Performance
- Radar Design
- SAR Image Interpretation
- Human Factors
- Operator Training
- Input to other COTS Products
- AGI’s STK/Radar™
- MPI’s RadarWorks™
SCATCAD™
Calculates generalized light scattering from coatings and surfaces. This application also provides:
- Full Bidirectional Reflectance Distribution Function (BRDF) analysis at arbitrary wavelengths in the visible and infrared
- Spectral Directional Hemispherical Reflectance (HRD) analysis
- Optical constant analysis of diffuse powered materials and multilayered stacks
System Requirements:
ScatCad 4.0 is a 32bit, PC based application that requires Windows 95 or higher operating system.
While ScatCad will run on any PC running Windows 95, the code is computationally intensive and a minimum system with a 200 MHz Pentium, 32Mbytes of RAM, & 100 Mbytes of free system disk space for memory paging is recommended.
Features & Benefits:
- Multiple Scattering
The purpose of ScatCad is to incorporate the effect of multiple scattering radiative transfer into the analysis of light scattering from pigments and paint system
-Extension of the Kubelka-Munk type of analysis used in the paint industry for many years
- ScatCad Output
ScatCad provides a user-friendly set of pull down menus for analyzing the HDR and BRDF output. The user can obtain:
-Tabular data
-Full diagnostic results which displiay many of the intermediate calculations
-ERAS formatted tabular data - It also provides tools for graphically displaying HDR and BRDF data. The graphical images can be sent directly to the printer or cut and pasted into word processor applications for report generation.
Applications to Real Paint Coatings
The key to successful application of analytical tools to real paint coatings is a comprehensice database of spectral optical constants (n & k) of a wide variety of materials.
This data has been obtained from Surface Optics Corporation’s in-house database and literature compilations. The database supports a number of options:
Paint Substrate
- -No substrate
- -Constant Diffuse Reflectance
- -Aluminum, etc.
Binders
- -Alkyd
- -Polyurethane
Pigment and coating material
- -Ceramics
- -Aluminum Oxide
- -Mica
- -Glass
- -Germanium
- - Titanium Oxide, etc.