Ladar image synthesis with comprehensive sensor model

Wellfare, Michael R.; Love, Leslie A.; McCarley, Karen A.; Prestwood, Lee

doi:10.1117/12.243553

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Irma ladar channel consists of three primary modules: EYEGEN, LENDER, and SENSIM [12]. These modules communicate with each other and utilize input data files as shown in Figure 2.…”

Section: Ladar Channelmentioning

confidence: 99%

Irma 5.1 multisensor signature prediction model

Savage

Coker

Thai

et al. 2005

Targets and Backgrounds XI: Characterization and Representation

View full text Add to dashboard Cite

The Irma synthetic signature prediction code is being developed to facilitate the research and development of multisensor systems. Irma was one of the first high resolution Infrared (IR) target and background signature models to be developed for tactical weapon application. Originally developed in 1980 by the Munitions Directorate of the Air Force Research Laboratory (AFRL/MN), the Irma model was used exclusively to generate IR scenes. In 1988, a number of significant upgrades to Irma were initiated including the addition of a laser (or active) channel. This twochannel version was released to the user community in 1990. In 1992, an improved scene generator was incorporated into the Irma model, which supported correlated frame-to-frame imagery. A passive IR/millimeter wave (MMW) code was completed in 1994. This served as the cornerstone for the development of the co-registered active/passive IR/MMW model, Irma 4.0. In 2000, Irma version 5.0 was released which encompassed several upgrades to both the physical models and software. Circular polarization was added to the passive channel and the doppler capability was added to the active MMW channel. In 2002, the multibounce technique was added to the Irma passive channel. In the ladar channel, a user-friendly Ladar Sensor Assistant (LSA) was incorporated which provides capability and flexibility for sensor modeling. Irma 5.0 runs on several platforms including Windows, Linux, Solaris, and SGI Irix. Since 2000, additional capabilities and enhancements have been added to the ladar channel including polarization and speckle effect. Work is still ongoing to add time-jittering model to the ladar channel. A new user interface has been introduced to aid users in the mechanism of scene generation and running the Irma code. The user interface provides a canvas where a user can add and remove objects using mouse clicks to construct a scene. The scene can then be visualized to find the desired sensor position. The synthetic ladar signatures have been validated twice and underwent a third validation test near the end of 04. These capabilities will be integrated into the next release, Irma 5.1, scheduled for completion in the summer of FY05. Irma is currently being used to support a number of civilian and military applications. The Irma user base includes over 130 agencies within the Air Force, Army, Navy, DARPA, NASA, Department of Transportation, academia, and industry. The purpose of this paper is to report the progress of the Irma 5.1 development effort.

show abstract

“…The Irma ladar channel consists of three primary modules: EYEGEN, LENDER, and SENSIM [12]. These modules communicate with each other and utilize input data files as shown in Figure 2.…”

Section: Ladar Channelmentioning

confidence: 99%

Irma 5.1 multisensor signature prediction model

Savage

Coker

Thai

et al. 2005

Targets and Backgrounds XI: Characterization and Representation

View full text Add to dashboard Cite

show abstract

“…s is the surface slope. Both of them are related with θ, the angle of the incidence and the reflection [6] .…”

Section: Introductionmentioning

confidence: 99%

“…This model is common in laser radar applications. There is also a more general model formulated using a two-frequency biostatic scattering amplitude matrix denoted by an R-matrix [6] . Fig.1 shows the target cross section in a LIDAR system.…”

Section: Introductionmentioning

confidence: 99%

The effect of object shape and laser beam shape on lidar system resolution

Cheng¹,

Wang

2016

SPIE Proceedings

View full text Add to dashboard Cite

In a LIDAR system, a pulsed laser beam is propagated to a scene, and then reflected back by objects. Ideally if the beam diameter and the pulse width are close to zero, then the reflected beam in time domain is similar to a delta function, which can accurately locate an object's position. However, in a practical system, the beam has finite size. Therefore, even if the pulse width is small, an object shape will make the reflected beam stretched along the time axis, then affect system resolution.In this paper, we assume the beam with Gaussian shape. The beam can be formulated as a delta function convolved with a shape function, such as a rectangular function, in time domain. Then the reflected beam can be defined as a system response function convolved with the shape function.We use symmetric objects to analyze the reflected beam. Corn, sphere, and cylinder objects are used to find a LIDAR system's response function. The case for large beam size is discussed. We assume the beam shape is similar to a plane wave. With this assumption, we get the simplified LIDAR system response functions for the three kinds of objects. Then we use tiny spheres to emulate an arbitrary object, and study its effect to the returned beam.

show abstract

“…The Irma 4.1 LADAR channel consists of three primary modules: EYEGEN, LENDER, and SENSIM [9]. These modules communicate with each other and utilize input data files as shown in Figure 3-4.…”

mentioning

confidence: 99%

<title>Irma multisensor predictive signature model</title>

Watson

Wellfare

Foster

et al. 1998

Targets and Backgrounds: Characterization and Representation IV

Self Cite

View full text Add to dashboard Cite

The Irma synthetic signature model was one of the first high resolution infrared (IR) target and background signature models to be developed for tactical weapons application. Originally developed in 98O by the Munitions Directorate of the Air Force Research Laboratory (AFRLIMNG), the Irma model was used exclusively to generate JR scenes for smart weapons research and development. In 1988, a number of significant upgrades to Irma were initiated including the addition of a laser channel. This two channel version, Irma 3.0, was released to the user community in 1990. In 1992, an improved scene generator was incorporated into the Irma model which supported correlated frame-to-frame imagery. This and other improvements were released in Irma 2.2. Irma 3.2, a passive JR/millimeter wave (MMW) code, was completed in 1994. This served as the cornerstone for the development of the co-registered active/passive IR/MMW model, Irma 4.0. Currently, upgrades are underway to include a near JR (NIR)/visible channel; a facet editor; utilities to support image viewing and scaling; and additional target/data files. The Irma 4. 1 software development effort is nearing completion. The purpose of this paper is to illustrate the results of the development. Planned upgrades for Irma 5.0 will be provided as well.Irma is being developed to facilitate multi-sensor research and development. It is currently being used to support a number of civilian and military applications. The current Irma user base includes over 100 agencies within the Air Force, Army, Navy, DARPA, NASA, Department of Transportation, academia, and industry. Partof the SPIE Conference on Targets and Backgrounds: 78 baracterization and Representation IV • Orlando, Florida • April 1998 SPIE Vol. 3375 • 0277-786X/98/$1O,00 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/16/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

show abstract

Ladar image synthesis with comprehensive sensor model

Cited by 5 publications

References 0 publications

Irma 5.1 multisensor signature prediction model

Irma 5.1 multisensor signature prediction model

The effect of object shape and laser beam shape on lidar system resolution

<title>Irma multisensor predictive signature model</title>

Contact Info

Product

Resources

About