I review a few of the most famous quantum algorithms, and discuss them from a practical perspective. What should a quantum system be able to do, in principle, to qualify as a quantum computer for which these algorithms work? The role of superposition, parallelism, and entanglement is discussed.
{"title":"Quantum algorithms","authors":"Bilha Segev","doi":"10.1117/12.477420","DOIUrl":"https://doi.org/10.1117/12.477420","url":null,"abstract":"I review a few of the most famous quantum algorithms, and discuss them from a practical perspective. What should a quantum system be able to do, in principle, to qualify as a quantum computer for which these algorithms work? The role of superposition, parallelism, and entanglement is discussed.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124904672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The U.S. Air Force is researching the fusion of multiple sensors and classifiers. Given a finite collection of classifiers to be fused one seeks a new classifier with improved performance. An established performance quantifier is the Receiver Operating Characteristic (ROC) curve. This curve allows one to view the probability of detection versus probability of false alarm in one graph. In reality only finite data is available so only an approximate ROC curve can be constructed. Previous research shows that one does not have to perform an experiment for this new fused classifier to determine its ROC curve. If the ROC curve for each individual classifier has been determined, then formulas for the ROC curve of the fused classifier exist for certain fusion rules. This will be an enormous saving in time and money since the performance of many fused classifiers will be determined without having to perform tests on each one. But, again, these will be approximate ROC curves, since they are based on finite data. We show that if the individual approximate ROC curves are consistent then the approximate ROC curve for the fused classifier is also consistent under certain circumstances. We give the details for these circumstances, as well as some examples related to sensor fusion.
{"title":"Consistency results for the ROC curves of fused classifiers","authors":"Kristopher S. Bjerkaas, M. Oxley, K. Bauer","doi":"10.1117/12.542284","DOIUrl":"https://doi.org/10.1117/12.542284","url":null,"abstract":"The U.S. Air Force is researching the fusion of multiple sensors and classifiers. Given a finite collection of classifiers to be fused one seeks a new classifier with improved performance. An established performance quantifier is the Receiver Operating Characteristic (ROC) curve. This curve allows one to view the probability of detection versus probability of false alarm in one graph. In reality only finite data is available so only an approximate ROC curve can be constructed. Previous research shows that one does not have to perform an experiment for this new fused classifier to determine its ROC curve. If the ROC curve for each individual classifier has been determined, then formulas for the ROC curve of the fused classifier exist for certain fusion rules. This will be an enormous saving in time and money since the performance of many fused classifiers will be determined without having to perform tests on each one. But, again, these will be approximate ROC curves, since they are based on finite data. We show that if the individual approximate ROC curves are consistent then the approximate ROC curve for the fused classifier is also consistent under certain circumstances. We give the details for these circumstances, as well as some examples related to sensor fusion.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134443777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ability of many insects, especially moths, to locate either food or a member of the opposite sex is an amazing achievement. There are numerous scenarios where having this ability embedded into ground-based or aerial vehicles would be invaluable. This paper presents results from a 3-D computer simulation of an Unmanned Aerial Vehicle (UAV) autonomously tracking a chemical plume to its source. The simulation study includes a simulated dynamic chemical plume, 6-degree of freedom, nonlinear aircraft model, and a bio-inspired navigation algorithm. The emphasis of this paper is the development and analysis of the navigation algorithm. The foundation of this algorithm is a fuzzy controller designed to categorize where in the plume the aircraft is located: coming into the plume, in the plume, exiting the plume, or out of the plume.
{"title":"Bio-inspired odor-based navigation","authors":"M. Porter, J. Vasquez","doi":"10.1117/12.665842","DOIUrl":"https://doi.org/10.1117/12.665842","url":null,"abstract":"The ability of many insects, especially moths, to locate either food or a member of the opposite sex is an amazing achievement. There are numerous scenarios where having this ability embedded into ground-based or aerial vehicles would be invaluable. This paper presents results from a 3-D computer simulation of an Unmanned Aerial Vehicle (UAV) autonomously tracking a chemical plume to its source. The simulation study includes a simulated dynamic chemical plume, 6-degree of freedom, nonlinear aircraft model, and a bio-inspired navigation algorithm. The emphasis of this paper is the development and analysis of the navigation algorithm. The foundation of this algorithm is a fuzzy controller designed to categorize where in the plume the aircraft is located: coming into the plume, in the plume, exiting the plume, or out of the plume.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Because of the large number of SAR images the Air Force generates and the dwindling number of available human analysts, automated methods must be developed. A key step towards automated SAR image analysis is image segmentation. There are many segmentation algorithms, but they have not been tested on a common set of images, and there are no standard test methods. This paper evaluates four SAR image segmentation algorithms by running them on a common set of data and objectively comparing them to each other and to human segmentations. This objective comparison uses a multi-measure approach with a set of master segmentations as ground truth. The measure results are compared to a Human Threshold, which defines the performance of human segmentors compared to the master segmentations. Also, methods that use the multi-measures to determine the best algorithm are developed. These methods show that of the four algorithms, Statistical Curve Evolution produces the best segmentations; however, none of the algorithms are superior to human segmentations. Thus, with the Human Threshold and Statistical Curve Evolution as benchmarks, this paper establishes a new and practical framework for testing SAR image segmentation algorithms.
{"title":"Objective evaluation of four SAR image segmentation algorithms","authors":"Jason B. Gregga, S. Gustafson, G. Power","doi":"10.1117/12.438228","DOIUrl":"https://doi.org/10.1117/12.438228","url":null,"abstract":"Because of the large number of SAR images the Air Force generates and the dwindling number of available human analysts, automated methods must be developed. A key step towards automated SAR image analysis is image segmentation. There are many segmentation algorithms, but they have not been tested on a common set of images, and there are no standard test methods. This paper evaluates four SAR image segmentation algorithms by running them on a common set of data and objectively comparing them to each other and to human segmentations. This objective comparison uses a multi-measure approach with a set of master segmentations as ground truth. The measure results are compared to a Human Threshold, which defines the performance of human segmentors compared to the master segmentations. Also, methods that use the multi-measures to determine the best algorithm are developed. These methods show that of the four algorithms, Statistical Curve Evolution produces the best segmentations; however, none of the algorithms are superior to human segmentations. Thus, with the Human Threshold and Statistical Curve Evolution as benchmarks, this paper establishes a new and practical framework for testing SAR image segmentation algorithms.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131849639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Department of Defense uses modeling and simulation systems in many various roles, from research and training to modeling likely outcomes of command decisions. Simulation systems have been increasing in complexity with the increased capability of low-cost computer systems to support these DOD requirements. The demand for scenarios is also increasing, but the complexity of the simulation systems has caused a bottleneck in scenario development due to the limited number of individuals with knowledge of the arcane simulator languages in which these scenarios are written. This research combines the results of previous efforts from the Air Force Institute of Technology in visual modeling languages to create a language that unifies description of entities within a scenario with its behavior using a visual tool that was developed in the course of this research. The resulting language has a grammar and syntax that can be parsed from the visual representation of the scenario. The language is designed so that scenarios can be described in a generic manner, not tied to a specific simulation system, allowing the future development of modules to translate the generic scenario into simulation system specific scenarios.
{"title":"Visual unified modeling language for the composition of scenarios in modeling and simulation systems","authors":"M. Talbert, Daniel E. Swayne","doi":"10.1117/12.663672","DOIUrl":"https://doi.org/10.1117/12.663672","url":null,"abstract":"The Department of Defense uses modeling and simulation systems in many various roles, from research and training to modeling likely outcomes of command decisions. Simulation systems have been increasing in complexity with the increased capability of low-cost computer systems to support these DOD requirements. The demand for scenarios is also increasing, but the complexity of the simulation systems has caused a bottleneck in scenario development due to the limited number of individuals with knowledge of the arcane simulator languages in which these scenarios are written. This research combines the results of previous efforts from the Air Force Institute of Technology in visual modeling languages to create a language that unifies description of entities within a scenario with its behavior using a visual tool that was developed in the course of this research. The resulting language has a grammar and syntax that can be parsed from the visual representation of the scenario. The language is designed so that scenarios can be described in a generic manner, not tied to a specific simulation system, allowing the future development of modules to translate the generic scenario into simulation system specific scenarios.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
OPTRA is developing a two-band midwave infrared scene simulator based on digital micromirror devices (DMD). The simulator is intended for testing a number of different infrared tracking technologies. Our approach allows for the relative intensities of the two spectral bands to be varied for realistic simulations of an approaching target. The system employs a broadband IR (thermal) source whose energy is spectrally filtered via a series of bandpass filters acting as dichroic beamsplitters prior to being imaged onto two DMDs - one for each spectral band. The "on" reflected images from the two DMDs are then fused, expanded by a telescope, and transmitted towards the unit under test. The relative intensities of each spatial element of the two bands are controlled through the duty cycle of "on" versus "off" of the related micromirror. In this paper we present a breadboard design, build, and test which establishes the feasibility of our approach. A description of the opto-mechanical system is given along with radiometric performance projections. Results from breadboard testing, including maximum radiant intensity and radiant intensity resolution, and a series of simulated images are shown.
{"title":"Two-band DMD-based infrared scene simulator","authors":"J. R. Dupuis, D. Mansur, G. Genetti","doi":"10.1117/12.778466","DOIUrl":"https://doi.org/10.1117/12.778466","url":null,"abstract":"OPTRA is developing a two-band midwave infrared scene simulator based on digital micromirror devices (DMD). The simulator is intended for testing a number of different infrared tracking technologies. Our approach allows for the relative intensities of the two spectral bands to be varied for realistic simulations of an approaching target. The system employs a broadband IR (thermal) source whose energy is spectrally filtered via a series of bandpass filters acting as dichroic beamsplitters prior to being imaged onto two DMDs - one for each spectral band. The \"on\" reflected images from the two DMDs are then fused, expanded by a telescope, and transmitted towards the unit under test. The relative intensities of each spatial element of the two bands are controlled through the duty cycle of \"on\" versus \"off\" of the related micromirror. In this paper we present a breadboard design, build, and test which establishes the feasibility of our approach. A description of the opto-mechanical system is given along with radiometric performance projections. Results from breadboard testing, including maximum radiant intensity and radiant intensity resolution, and a series of simulated images are shown.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Rogelio Falguera, Fernanda Pereira Sartori Falguera, A. Marana
Many methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus. It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for skeletal identification. This paper presents a frontal sinus recognition method for human identification based on Image Foresting Transform and shape context. Experimental results (ERR = 5,82%) have shown the effectiveness of the proposed method.
{"title":"Frontal sinus recognition for human identification","authors":"Juan Rogelio Falguera, Fernanda Pereira Sartori Falguera, A. Marana","doi":"10.1117/12.777706","DOIUrl":"https://doi.org/10.1117/12.777706","url":null,"abstract":"Many methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus. It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for skeletal identification. This paper presents a frontal sinus recognition method for human identification based on Image Foresting Transform and shape context. Experimental results (ERR = 5,82%) have shown the effectiveness of the proposed method.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123197689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A novel technique of NIR imaging is presented that gives access to most of the applications currently published as being solely suitable for Terahertz (THz) waves. The technique uses NIR beams wavelengths found in ordinary domestic remote controls (circa 850 nm) and various signal recovery techniques commonly found in astronomy. This alternative technique can be realised by very simple and inexpensive electronics and is inherently far more portable and easy to use and no special sources are required. Transmission imaging results from this technique are presented from several industrial examples and various security applications and are compared and contrasted directly with their THz-derived counterparts. It would appear possible to very cheaply and simply emulate the performance of commercial terahertz systems at a fraction of the cost and with greatly reduced processing times Another advantage is that apart from imaging, this technique affords the means to provide simultaneous in-situ chemical-bond analysis for stand-off detection of certain chemical signatures - for example, those found in drugs and explosives (both molecular and oxidiser based). Also, unlike THz, this technique can penetrate bulk water and high humidity atmospheres and be used in transmission mode on biological and medical samples. Several results are presented of non-ionising X-ray type images that even differentiate between separate types of soft tissue
{"title":"A novel low cost alternative to THz for security and defence applications","authors":"G. Diamond, D. Hutchins, P. Pallav, R. Green","doi":"10.1117/12.799676","DOIUrl":"https://doi.org/10.1117/12.799676","url":null,"abstract":"A novel technique of NIR imaging is presented that gives access to most of the applications currently published as being solely suitable for Terahertz (THz) waves. The technique uses NIR beams wavelengths found in ordinary domestic remote controls (circa 850 nm) and various signal recovery techniques commonly found in astronomy. This alternative technique can be realised by very simple and inexpensive electronics and is inherently far more portable and easy to use and no special sources are required. Transmission imaging results from this technique are presented from several industrial examples and various security applications and are compared and contrasted directly with their THz-derived counterparts. It would appear possible to very cheaply and simply emulate the performance of commercial terahertz systems at a fraction of the cost and with greatly reduced processing times Another advantage is that apart from imaging, this technique affords the means to provide simultaneous in-situ chemical-bond analysis for stand-off detection of certain chemical signatures - for example, those found in drugs and explosives (both molecular and oxidiser based). Also, unlike THz, this technique can penetrate bulk water and high humidity atmospheres and be used in transmission mode on biological and medical samples. Several results are presented of non-ionising X-ray type images that even differentiate between separate types of soft tissue","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114124193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Fièque, P. Robert, C. Minassian, M. Vilain, J. Tissot, A. Crastes, O. Legras, J. Yon
The high level of accumulated expertise by ULIS and CEA/LETI on uncooled microbolometers made from amorphous silicon enables ULIS to develop 1024 x 768 (XGA) IRFPAs with 17 μm pixel-pitch to build up the currently available product catalog. This detector has kept all the innovations developed on the full TV format Read Out Integrated Circuit (ROIC) (detector configuration by serial link, two video outputs, low power consumption and wide electrical dynamic range ...). The specific appeal of this unit lies in the high image resolution it provides. The reduction of the pixel-pitch turns this XGA array into a product well adapted for high resolution and compact systems. In the last part of the paper, we will look more closely at high electro-optical performances of this IRFPA; we will highlight the wide thermal dynamic range as well as the high characteristics uniformity and high pixel operability achieved thanks to the mastering of the amorphous silicon technology coupled with the ROIC design.
ULIS和CEA/LETI在非晶硅非冷却微辐射热计方面积累的高水平专业知识使ULIS能够开发1024 x 768 (XGA) 17 μm像素间距的irfpa，以建立目前可用的产品目录。该探测器保持了在全电视格式读出集成电路(ROIC)上开发的所有创新(探测器配置串行链路，两个视频输出，低功耗和宽电气动态范围…)。这种装置的特别吸引力在于它提供的高图像分辨率。像素间距的减小使这种XGA阵列成为一种适用于高分辨率和紧凑系统的产品。在本文的最后一部分，我们将更仔细地研究该红外焦平面反射镜的高电光性能;我们将重点介绍由于掌握非晶硅技术以及ROIC设计而实现的宽热动态范围以及高特性均匀性和高像素可操作性。
{"title":"Uncooled amorphous silicon XGA IRFPA with 17μm pixel-pitch for high end applications","authors":"B. Fièque, P. Robert, C. Minassian, M. Vilain, J. Tissot, A. Crastes, O. Legras, J. Yon","doi":"10.1117/12.779488","DOIUrl":"https://doi.org/10.1117/12.779488","url":null,"abstract":"The high level of accumulated expertise by ULIS and CEA/LETI on uncooled microbolometers made from amorphous silicon enables ULIS to develop 1024 x 768 (XGA) IRFPAs with 17 μm pixel-pitch to build up the currently available product catalog. This detector has kept all the innovations developed on the full TV format Read Out Integrated Circuit (ROIC) (detector configuration by serial link, two video outputs, low power consumption and wide electrical dynamic range ...). The specific appeal of this unit lies in the high image resolution it provides. The reduction of the pixel-pitch turns this XGA array into a product well adapted for high resolution and compact systems. In the last part of the paper, we will look more closely at high electro-optical performances of this IRFPA; we will highlight the wide thermal dynamic range as well as the high characteristics uniformity and high pixel operability achieved thanks to the mastering of the amorphous silicon technology coupled with the ROIC design.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131829912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Schwering, D. Bezuidenhout, W. H. Gunter, Francois P. J. le Roux, R. Sieberhagen
Present-day naval operations take place in coastal environments as well as narrow straits all over the world. Coastal environments around the world are exhibiting a number of threats to naval forces. In particular a large number of asymmetric threats can be present in environments with cluttered backgrounds as well as rapidly varying atmospheric conditions. During trials executed in False Bay a large amount of target, background and atmosphere data was gathered that is of use in analysis of optical characteristics of targets and backgrounds. During the trials a variety of backgrounds were recorded. We have used these backgrounds to validate the TNO background model MIBS to incorporate also coastal backgrounds and sunlit sea backgrounds. In the paper we show results of the background analysis, for coastal bay backgrounds. In particular the detection of small targets by automatic system may be hampered by small surface structure variations at the surface and near the horizon. The data that we analyzed are sea surface structure, temporal behaviour, and spectral differences during different environmental conditions that occurred during the trials. This data is essential to feed detection algorithms, and performance models for the assessment of sensor performance in coastal environment. Some sensor management approaches for application in IRST systems is discussed.
{"title":"IRST infrared background analysis of bay environments","authors":"P. Schwering, D. Bezuidenhout, W. H. Gunter, Francois P. J. le Roux, R. Sieberhagen","doi":"10.1117/12.778449","DOIUrl":"https://doi.org/10.1117/12.778449","url":null,"abstract":"Present-day naval operations take place in coastal environments as well as narrow straits all over the world. Coastal environments around the world are exhibiting a number of threats to naval forces. In particular a large number of asymmetric threats can be present in environments with cluttered backgrounds as well as rapidly varying atmospheric conditions. During trials executed in False Bay a large amount of target, background and atmosphere data was gathered that is of use in analysis of optical characteristics of targets and backgrounds. During the trials a variety of backgrounds were recorded. We have used these backgrounds to validate the TNO background model MIBS to incorporate also coastal backgrounds and sunlit sea backgrounds. In the paper we show results of the background analysis, for coastal bay backgrounds. In particular the detection of small targets by automatic system may be hampered by small surface structure variations at the surface and near the horizon. The data that we analyzed are sea surface structure, temporal behaviour, and spectral differences during different environmental conditions that occurred during the trials. This data is essential to feed detection algorithms, and performance models for the assessment of sensor performance in coastal environment. Some sensor management approaches for application in IRST systems is discussed.","PeriodicalId":133868,"journal":{"name":"SPIE Defense + Commercial Sensing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2008-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131038314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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