Sensor Transformations

Wong, Robert Y.

doi:10.1109/tsmc.1977.4309639

Cited by 31 publications

(7 citation statements)

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“…Drawing on work done in sensor transformation [Wong 1977], we have investigated a polynomial warping of the coordinate system of one image to the coordinate system of the other. The coefficients of the polynomial are estimated from a set of corresponding "landmark" points that are marked on the images by a human operator, or automatically projected from the database.…”

Section: Image Consistency and Comparisons For Interoperabilitymentioning

confidence: 99%

Terrain database interoperability issues in training with distributed interactive simulation

Schiavone

Sureshchandran

Hardis

1997

ACM Trans. Model. Comput. Simul.

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In Distributed Interactive Simulation (DIS), each participating node is responsible for maintaining its own model of the synthetic environment. Problems may arise if significant inconsistencies are allowed to exist between these separate world views, resulting in unrealistic simulation results or negative training, and a corresponding degradation of interoperability in a DIS simulation exercise. In the DIS community, this is known as the simulator terrain database (TDB) correlation problem. This is part of the larger synthetic environment correlation problem in DIS, which includes atmosphere, ocean, space, and a wide variety of dynamic effects, behaviors and models. In this article, we investigate the terrain database correlation problem and the resultant effects on interoperability in DIS systems. The fundamental elements of terrain databases designed for real-time distributed simulation are introduced. A generic data pipeline for terrain database generation systems is developed for the purpose of illustrating causes of the correlation problem and issues of terrain database fidelity. Implications of the problem are discussed, and testing methodologies are recommended for its mitigation. Several statistical methods have been developed to analyze consistency between various elements of the synthetic environment across DIS platforms. Correlation metrics have been formulated for terrain elevations and features. Comparisons and consistency of final rendered images have been addressed. Finally, a suite of software tools that has been developed for interoperability investigations and visual comparison of terrain databases is presented.

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Section: Image Consistency and Comparisons For Interoperabilitymentioning

confidence: 99%

Terrain database interoperability issues in training with distributed interactive simulation

Schiavone

Sureshchandran

Hardis

1997

ACM Trans. Model. Comput. Simul.

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“…A hierarchical variable resolution sequential search [1] is a generalization of the above two-stage search concept; this procedure has recently been applied with considerable success to reduce computational overhead in image cross-correlation [16][17][18]. As applied to Ripple Filter operation, hierarchical search resolves the barrier pixel problem, improves algorithm convergence speed, and in some cases can improve convergence accuracy.…”

Section: Hierarchical Search and Estimator Adaptationmentioning

confidence: 99%

<title>Fast Adaptive Algorithms For Low-Level Scene Analysis: The Parallel Hierarchical Ripple Filter</title>

Schenker

Cooper

1980

SPIE Proceedings

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We report on the development of a new class of parallel computation algorithm for low -level scene analysis.The algorithm is a high resolution, high speed estimator for boundary extraction of simple objects imaged under noisy conditions. We explain the algorithm structure and underlying physical models; we then present demonstrative pictorial examples of application to synthetic test imagery. We next introduce a generalization of the algorithm wherein a hierarchical variable resolution search is employed to gain major improvements in algorithm convergence speed and robustness.We discuss the importance of making the algorithm adaptive to local image statistics and show that the algorithm parallel-window topology is consonant with this goal. We present further experimental results that depict the generalized algorithm applied to real data bases; these results demonstrate that even simple adaptation models can substantially improve algorithm convergence accuracy. AbstractWe report on the development of a new class of parallel computation algorithm for low-level scene analysis. The algorithm is a high resolution, high speed estimator for boundary extraction of simple objects imaged under noisy conditions. We explain the algorithm structure and underlying physical models; we then present demonstrative pictorial examples of application to synthetic test imagery. We next introduce a generalization of the algorithm wherein a hierarchical variable resolution search is employed to gain major improvements in algorithm convergence speed and robustness. We discuss the importance of making the algorithm adaptive to local image statistics and show that the algorithm parallel^J.'Lndow topology is consonant with this goal. We present further experimental results that depict the generalized algorithm applied to real data bases; these results demonstrate that even simple adaptation models can substantially improve algorithm convergence accuracy.

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“…In some MS-IPR work, Wong [17][18] and others have used a Karhunen Loeve amplitude or similar image pre-processing operation to produce an intensity equalized histogram. Our weighted MSF synthesis technique for MS-IPR can be reformulated as a type of frequency domain histogram equilization filtering.…”

Section: Another Important Aspect Of Ms-ipr Is the Use Of Histogram mentioning

confidence: 99%

Optical Pattern Recognition for Missile Guidance.

Casasent¹

1979

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KEY WORDS (Continue on reverse sido If neressary and Identify INblock number)Coherence measure correlator, equalization correlator, liquid crystal, missile guidance, multi-sensor pattern recognition, normalized invariant moments, optical data processing, optical patterni recognition, photo-DKDP, spacevariant pattern recognition, spatial light modulators. ABSTRACT (Continue or, reverse side Of rnecoisary mod idtentify hy block ,n.Iihor)In the past year, our research on optical pattern recognlition COPR) for missile guidance has addressed three general areas: new OIT techniquies, OPR experiments on specific missile guidance problems and scenarios, and component evaluation and testing.In the area of component evaluation and testing, we have concentrated on 2-D spatial light modulators (SIM) with specific attention to the photo-DKDP, prom, and the liquid crystal light valve and to a general test and evaluation procedure for these devices. The major results of this program phase has been the development of a general SLM test and evaluation Our Il liorise test and eva lua tln p:' r;oram foind the photo-DKI)1' nnd -CCI) addressed SI.; worthy of ftirLtiro re;aic ri a rid de'velop,,ei,. DDIn the area of new OPR techniques, we have developed a v-1herence measure correlator, an equalization correlator, moment invariant hybrid correlaLor and an averaged filter correlator.Specific missile guidance scenarios pursued were OPR of multisensor and Infrared imagery. The former has laid initial ground work for a future program in optical statistical and deterministic pattern recognition. The latter has initiated a generalized approach to OPR using hyperspace formulations and linear combinations of orthonormal basis functions. In the past year, our research on OPR for missile guidance has concentrated on three general areas:(1) component evaluation, (2) new OPR techniques, and (3) demonstration of OPR on several specific missile guidance data bases.As the most critical OPR system components we correctly choose the 2-D real-time and reusable SLM. In the course of the past year, we have performed in house evaluation of the liquid crystal light valve (LCLV) and the photo-DKDP SLMs. The results of our general SLM program are summarized in chapter 2. In this paper, we address the general test and evaluation procedure to be used for * 'these components. Such an effort is vital if comparisons and fair evaluations of the diverse candidate SLMs are to be possible. Many detailed experimentswere performed on the photo-DKDP SLM in many theoretical studies of this device were performed in conjunction with researchers in France. The results of these tests are summarized in chapter 3. We found this SLM to be one of the most promising ones, with considerable development research possible that should result in a viable device. The results of our in house evaluation of several LCLV SLMs are included in chapter 2. The major flaw in this SLM appears to.be its spatially varying nonuniformity of response due to small differences in the thickness of the L...

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Sensor Transformations

Cited by 31 publications

References 5 publications

Terrain database interoperability issues in training with distributed interactive simulation

Terrain database interoperability issues in training with distributed interactive simulation

<title>Fast Adaptive Algorithms For Low-Level Scene Analysis: The Parallel Hierarchical Ripple Filter</title>

Optical Pattern Recognition for Missile Guidance.

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