The RealIR application programming interface (API) meets the needs of users

who wish to incorporate real-time imaging IR into their simulation systems.

The API provides complete functionality for a physics-based IR model and

includes sensor specification, time-varying environment and atmosphere,

physics-based computation of scene temperatures and radiances, and

atmospheric propagation using LOWTRAN or MODTRAN. The API also

provides automatic conversion of terrain and target textures to physically

correct IR textures.

RealIR™ API for IR Sensor Simulation

Hyperspectral Sensor Simulation The Infrared Hyperspectral Simulation System (IRHSS) is an accurate, non-

real-time large-scene simulation tool for multispectral/hyperspectral imaging

sensors operating in the thermal IR bands. The simulation contains models for

target and background spectral radiance, atmospheric propagation, and

sensor processing. It uses a new hyperspectral version of the Multi-service

Electro-optical Signature (MuSES) model to compute accurate and

validated scene temperatures and hyperspectral radiances. IRHSS is able to

handle very large terrain and feature databases by selective use of

radiation view factors.

� IR Sensor Simulation

� Hyperspectral Sensor Simulation

� Material Classification

� Automatic Feature Extraction

� Radar Simulation

� Target Signature Prediction

� Terrain Clutter Modeling

� SAR and ISAR image simulation

We can provide support or deliver a

turnkey simulation to fit your specific needs

and applications

VOLUME 1 ISSUE 2

Sensor Modeling &

Simulation Solutions

04/25/17

Accurate physics-based sensor simulation for IR, radar, and night

vision requires pixel-level classification of materials in terrain

imagery and identification of major man-made features in the

simulation database. TSC’s Automatic Feature Extractor (AFE)

provides this capability in a user-friendly set of tools that interfaces

with standard Government simulation databases such as CDB. The

tools include an expert system-based classifier that can handle

any combination of input imagery, including grayscale, color, and

multispectral data. For identifying features, AFE provides tools for

extracting buildings, road networks, and waterway networks.

Automatic Material Classification & Feature Extraction

The Radar Imagery Generator (RIG) calculates the radar

scattering from complex targets, and simulates the imagery

resulting from a high resolution SAR or Inverse SAR radar

system. RIG is available both with a user-friendly, menu-

driven Windows interface, and as an application

programming interface (API) toolkit for integration into your

application. RIG offers fast execution times while

maintaining high fidelity physics models.

Radar Imagery Generator Simulation

For more information

please contact

Uri Bernstein

(uri.bernstein@tsc.com)

(310)754-4211

Yit-Tsi Kwan

(yit-tsi.kwan@tsc.com)

(310)754-4218

Time Domain Signature Prediction Tool

The Time Domain Signature Prediction Tool is a physics-based radar signature

modeling code designed for both static and dynamic environments. It includes a

general high-fidelity representation of the incident waveform with linear and

nonlinear frequency modulation and user-specified complex pulse envelopes. It

also includes a signal processing module that produces pulse compressed range

profiles for wide bandwidth linear frequency modulation (LFM) and stepped

frequency waveforms. The software features an intuitive graphical user interface

and uses facet models in a standard format. It can be run on both Windows and

Linux operating systems, in single and multi-processor platforms, as well as clustered

computer environments.

Technology Service Corporation

California Operations

3415 South Sepulveda Boulevard

Los Angeles, CA 90034

www.tsc.com