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2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing最新文献

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Spectral constraints on the composition of active slope streaks on Mars 火星上活动斜坡条纹组成的光谱约束
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594933
A. Mushkin, A. Gillespie, D. Montgomery, B. Schreiber, R. Arvidson
{"title":"Spectral constraints on the composition of active slope streaks on Mars","authors":"A. Mushkin, A. Gillespie, D. Montgomery, B. Schreiber, R. Arvidson","doi":"10.1109/WHISPERS.2010.5594933","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594933","url":null,"abstract":"The formation of low-albedo slope streaks represents one of the most active surface processes presently observed on Mars. Ongoing debate about the origin of such streaks centers on whether they are the products of: 1) erosional processes related to ‘dry’ mass-wasting exposing a dark-toned substrate beneath a thin dust mantle; or 2) ‘wet’ processes associated with liquid seeps. Here, we employ hyperspectral CRISM images to determine the spectral properties of individual slope streaks, constrain their composition, and test possible formation mechanisms. Our results demonstrate that the slope streaks analyzed here form a spectrally distinct and compositionally unique class of active Martian surface features. Darkening through exposure of a pre-existing substrate, textural effects and/or persistent soil moisture are all unambiguously ruled out by the spectral observations, which instead point towards a transparent surface coating or enrichment in low-albedo ferric oxides as the most likely and spectrally permissible mechanisms.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115055264","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}
引用次数: 0
Survey of geometric and statistical unmixing algorithms for hyperspectral images 高光谱图像的几何和统计解混算法综述
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594929
M. Parente, A. Plaza
{"title":"Survey of geometric and statistical unmixing algorithms for hyperspectral images","authors":"M. Parente, A. Plaza","doi":"10.1109/WHISPERS.2010.5594929","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594929","url":null,"abstract":"Spectral mixture analysis (also called spectral unmixing) has been an alluring exploitation goal since the earliest days of imaging spectroscopy. No matter the spatial resolution, the spectral signatures collected in natural environments are invariably a mixture of the signatures of the various materials found within the spatial extent of the ground instantaneous field view of the imaging instrument. In this paper, we give a comprehensive enumeration of the unmixing methods used in practice, because of their implementation in widely used software packages, and those published in the literature. We have structured the review according to the basic computational approach followed by the algorithms, with particular attention to those based on the computational geometry formulation, and statistical approaches with a probabilistic foundation. The quantitative assessment of some available techniques in both categories provides an opportunity to review recent advances and to anticipate future developments.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115539439","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}
引用次数: 118
Architecture of the real-time target detection processing in an airborne hyperspectral demonstrator system 机载高光谱演示系统中实时目标检测处理体系
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594940
T. Haavardsholm, G. Arisholm, Amela Kavara, T. Skauli
{"title":"Architecture of the real-time target detection processing in an airborne hyperspectral demonstrator system","authors":"T. Haavardsholm, G. Arisholm, Amela Kavara, T. Skauli","doi":"10.1109/WHISPERS.2010.5594940","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594940","url":null,"abstract":"An airborne demonstrator for real-time hyperspectral target detection has been developed at FFI. The real-time image processing is challenging, not only due to the computational complexity of the algorithms, but also due to the sustained high data rate. A software framework has been designed in C++ to handle large data flows in a nonlinear pipeline architecture. The cross-platform framework enables full exploitation of multicore processors and graphics processing units (GPU), and even distribution among multiple computers. Object oriented design enables flexible reconfiguration of the pipeline. Tests demonstrate sustained real-time performance of complex anomaly detection processing.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"549 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123127184","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}
引用次数: 5
Using texture and fractal analysis for classification of cell nuclei from light scattering spectroscopic images 利用纹理和分形分析对光散射光谱图像中的细胞核进行分类
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594874
R. Dobrescu, M. Dobrescu, L. Ichim
{"title":"Using texture and fractal analysis for classification of cell nuclei from light scattering spectroscopic images","authors":"R. Dobrescu, M. Dobrescu, L. Ichim","doi":"10.1109/WHISPERS.2010.5594874","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594874","url":null,"abstract":"The paper presents an original experimental optical LSS system which allows backscattering Mie diffusion spectra determination for biological samples. With the aim of evaluating viral infection effects, a software package performs fractal analysis of the spectra and texture analysis of the associated microscopic images. Finally a method for the classification of cell nuclei and the discrimination between virus infected and non-infected biological samples using a combined vector of the computed fractal and texture features is proposed.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124798785","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}
引用次数: 1
Hyper-Cam: Hyperspectral IR imaging applications in defence innovative research Hyper-Cam:高光谱红外成像在国防创新研究中的应用
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594890
Y. Montembeault, P. Lagueux, V. Farley, A. Villemaire, K. Gross
{"title":"Hyper-Cam: Hyperspectral IR imaging applications in defence innovative research","authors":"Y. Montembeault, P. Lagueux, V. Farley, A. Villemaire, K. Gross","doi":"10.1109/WHISPERS.2010.5594890","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594890","url":null,"abstract":"Modern defence acitivites often require sophisticated technology to enable protection of sites and troops, as well as understanding and predicting events in the battlefield. The need for protection against chemical attacks has been a military priority for decades. Similarly, the need for battlefield standoff remote sensing (target/camouflage and surface contaminants detection, IR signatures of decoys/flares/jet engines) has evolved along with theelectro-optical technologies. These areas of application require powerful detection methods through the analysis of infrared spectral signatures and recognition algorithms. Telops commercializes the Hyper-Cam, a rugged and compact infrared hyperspectral imaging sensor operating in the LWIR (8–11.5 µm) or the MWIR (1.5–5.5 µm). This paper presents some areas of application in defence innovative research where the Hyper-Cam sensor, is paving the way with unprecedented capabilities.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124867537","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}
引用次数: 16
A robust alternating volume maximization algorithm for endmember extraction in hyperspectral images 高光谱图像端元提取的鲁棒交替体积最大化算法
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594862
Arulmurugan Ambikapathi, Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi
{"title":"A robust alternating volume maximization algorithm for endmember extraction in hyperspectral images","authors":"Arulmurugan Ambikapathi, Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi","doi":"10.1109/WHISPERS.2010.5594862","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594862","url":null,"abstract":"Accurate estimation of endmember signatures and the associated abundances of a scene from its hyperspectral observations is at present, a challenging research area. Many of the existing hyper-spectral unmixing algorithms are based on Winter's belief, which states that the vertices of the maximum volume simplex inside the data cloud (observations) will yield high fidelity estimates of the endmember signatures if pure-pixels exist. Based on Winter's belief, we recently proposed a convex analysis based alternating volume maximization (AVMAX) algorithm. In this paper we develop a robust version of the AVMAX algorithm. Here, the presence of noise in the hyperspectral observations is taken into consideration with the original deterministic constraints suitably reformulated as probabilistic constraints. The subproblems involved are convex problems and they can be effectively solved using available convex optimization solvers. Monte Carlo simulations are presented to demonstrate the efficacy of the proposed RAVMAX algorithm over several existing pure-pixel based hyperspectral unmixing methods, including its predecessor, the AVMAX algorithm.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710085","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}
引用次数: 5
A generalized kernel for areal and intimate mixtures 面积和亲密混合的广义核
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594962
Joshua B. Broadwater, A. Banerjee
{"title":"A generalized kernel for areal and intimate mixtures","authors":"Joshua B. Broadwater, A. Banerjee","doi":"10.1109/WHISPERS.2010.5594962","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594962","url":null,"abstract":"In previous work, kernel methods were introduced as a way to generalize the linear mixing model for hyperspectral data. This work led to a new physics-based kernel that allowed accurate unmixing of intimate mixtures. Unfortunately, the new physics-based kernel did not perform well on linear mixtures; thus, different kernels had to be used for different mixtures. Ideally, a single unified kernel that can perform both unmixing of areal and intimate mixtures would be desirable. This paper presents such a kernel that can automatically identify the underlying mixture type from the data and perform the correct unmixing method. Results on real-world, ground-truthed intimate and linear mixtures demonstrate the ability of this new data-driven kernel to perform generalized unmixing of hyperspectral data.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121081642","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}
引用次数: 33
Utility assessment of a multispectral snapshot LWIR imager 多光谱快照LWIR成像仪的效用评估
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594956
J. Mercier, Toby Townsend, R. Sundberg
{"title":"Utility assessment of a multispectral snapshot LWIR imager","authors":"J. Mercier, Toby Townsend, R. Sundberg","doi":"10.1109/WHISPERS.2010.5594956","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594956","url":null,"abstract":"The purpose of this study was to asses the utility of a Long Wave Infrared (LWIR) snapshot imager for remote sensing applications. The snapshot imager is made possible by the utilization of a color filter array that selectively allows different wavelengths of light to be collected on separate pixels of the focal plane in same fashion as a typical Bayer array in visible portion of the spectrum [1]. Recent technology developments have made this possible in the LWIR [2]. The primary focus of the study is to develop a band selection technique that is capable of identifying both the optimal number and width of the spectral channels. Once selected, the theoretical sensor performance is used to evaluate the usefulness in a typical remote sensing application.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126837780","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}
引用次数: 5
Hyperspectral anomaly detector based on variable number of linear predictors 基于可变数量线性预测因子的高光谱异常检测器
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594945
E. Lo
{"title":"Hyperspectral anomaly detector based on variable number of linear predictors","authors":"E. Lo","doi":"10.1109/WHISPERS.2010.5594945","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594945","url":null,"abstract":"An important application in remote sensing using hyper-spectral imaging system is the detection of anomalies in a large background. An anomaly detector for hyperspectral imagery is developed by partialling out the effect of the clutter subspace by predicting the background using a linear combination of the clutter subspace. The coefficients of the linear combination are chosen to maximize a criterion based on squared correlation. The dimension of the clutter subspace for each spectral component of the background can vary from one spectral component to another. The experimental results from a hyperspectral data cube show that the anomaly detector has a better performance than the SSRX detector.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125226824","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}
引用次数: 2
The Hyperspectral Imager for the Coastal Ocean (HICO)- design and early results 沿海海洋高光谱成像仪(HICO)-设计和早期结果
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2010-06-14 DOI: 10.1109/WHISPERS.2010.5594935
D. Korwan, R. Lucke, M. Corson, J. Bowles, B. Gao, Rong-Rong Li, M. Montes, W. Snyder, N. McGlothlin, S. Butcher, D. Wood, C. Davis, W. D. Miller
{"title":"The Hyperspectral Imager for the Coastal Ocean (HICO)- design and early results","authors":"D. Korwan, R. Lucke, M. Corson, J. Bowles, B. Gao, Rong-Rong Li, M. Montes, W. Snyder, N. McGlothlin, S. Butcher, D. Wood, C. Davis, W. D. Miller","doi":"10.1109/WHISPERS.2010.5594935","DOIUrl":"https://doi.org/10.1109/WHISPERS.2010.5594935","url":null,"abstract":"The design and early results of the Hyperspectral Imager for the Coastal Ocean (HICO) are presented. The performance requirements imposed on the sensor to measure the low signals and to differentiate the optically complex spectra of the coastal ocean are discussed. It is shown the as-built sensor meets or exceeds the design parameters. Further, environmental products from early retrievals of the HICO imagery are presented.","PeriodicalId":193944,"journal":{"name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133823158","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}
引用次数: 6
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