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检索条件"任意字段=Conference on Algorithms for Multispectral and Hyperspectral Imagery IV"

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Effects of resolution enhancement and atmospheric correction pre-processing in classification of hyperspectral imagery

Effects of resolution enhancement and atmospheric correction...

引用

conference onalgorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery X

作者： Morillo-Contreras, S Vélez-Reyes, M Hunt, SD Univ Puerto Rico Lab Appl Remote Sensing & Image Proc Mayaguez PR 00681 USA

ISBN: (纸本)081945348X

This paper presents a comparison between classification results when hyperspectral imagery is pre-processed by spectral resolution enhancement algorithms and/or atmospheric correction algorithms. Different combinations of pre-processing options were investigated. Overall, resolution enhancement does improve classification accuracy with and without atmospheric correction. Furthermore, classification accuracy using radiance data enhanced by resolution enhancement techniques was higher than accuracies obtained by atmospherically corrected data even when it was enhanced. AVIRIS data from the Indian Pines test site in NW Indiana was used to illustrate the different concepts.

关键词： hyperspectral imagery resolution enhancement atmospheric correction classification

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Dimensionality reduction in hyperspectral imagery

Dimensionality reduction in hyperspectral imagery

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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery IX

作者： Gillis, D Bowles, J Winter, ME USN Res Lab Washington DC 20375 USA

ISBN: (纸本)0819449539

In this paper we examine how the projection of hyperspectral data into smaller dimensional subspaces can effect the propagation of error. In particular, we show that the nonorthogonality of endmembers in the linear mixing model can cause small changes in band space (as, for example, from the addition of noise) to lead to relatively large changes in the estimated abundance coefficients. We also show that increasing the number of endmembers can actually lead to an increase in the amount of possible error.

关键词： hyperspectral analysis dimensionality analysis spectral demixing

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Fast multi-scale regularization and segmentation of hyperspectral imagery via anisotropic diffusion and algebraic multigrid solvers

Fast multi-scale regularization and segmentation of hyperspe...

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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XIII

作者： Duarte-Carvajalino, Julio M. Sapiro, Guillermo Velez-Reyes, Miguel Castillo, Paul Univ Puerto Rico Mayaguez PR 00681 USA Univ Minnesota Minneapolis MN 55455 USA

ISBN: (纸本)9780819466877

This paper presents an algorithm that generates a scale-space representation of hyperspectral imagery using Algebraic Multigrid (AMG) solvers. The scale-space representation is obtained by solving with AMG a vector-valued anisotropic diffusion equation, with the hyperspectral image as its initial condition. AMG also provides the necessary structure to obtain a hierarchical segmentation of the image. The scale. space representation of the hyperspectral image can be segmented in linear time complexity. Results in the paper show that improved segmentation is achieved. The proposed methodology to solve vector PDEs can be used to extend a number of techniques currently being developed for the fast computation of geometric PDEs and its application for the processing of hyperspectral and multispectral imagery.

关键词： algebraic multigrid anisotropic diffusion hyperspectral imaging iterated weighted aggregation partial differential equations remote sensing geometric scale-space

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Automatic extraction and identification of lines of communication from high-resolution multispectral imagery 2

Automatic extraction and identification of lines of communic...

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conference on algorithms for multispectral and hyperspectral imagery II

作者： West, KF Lersch, JR iverson, AE Webb, BN Stevenson, HA SCI APPLICAT INT CORP TUCSONAZ 85711

ISBN: (纸本)0819421391

Use of remotely sensed imagery to map lines of communication or revise existing maps is currently a labor-intensive process. In this paper, we present a system for automatically extracting lines of communication from high- resolution (less than 5-meter spatial resolution) multispectral imagery. Positive systems ADAR 5500 imagery is used to demonstrate system functionality. Our system includes automatic detection and identification algorithms, a geospatial database for storage and retrieval of results, a change detection component that compares newly detected lines of communication against stored database information, and a user interface that allows operator review and editing of automatically extracted results.

关键词： multispectral lines of communication roads mapping image processing

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A method for enhancing spectral resolution of multispectral satellite imagery

A method for enhancing spectral resolution of multispectral ...

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conference on multispectral, hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications iv

作者： Guo, Tao Kujirai, Toshihiro Watanabe, Takashi Kitano, Yu Zhao, Yu Hitachi Ltd Cent Res Lab Kokubunji Tokyo 1858601 Japan

ISBN: (纸本)9780819492661

It's essential but challenging to retrieve spectral features as detailed as possible in current satellite imagery industry. In this research, based on the physical model of sensor response function, we present a method to recover the reflective spectrum at the front end of sensor in an iterative way and to greatly enhance the spectral details of satellite imagery. Our method is able to largely increase the cost-performance ratio of current satellite multispectral imagery and also reveals great potentials of satellite imagery in various disciplines.

关键词： multispectral spectral resolution sensor response function satellite imagery

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hyperspectral Target Detection Assessment Using An Online Evaluation System

Hyperspectral Target Detection Assessment Using An Online Ev...

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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVI

作者： Zhu, Wei Du, Qian Mississippi State Univ Dept Elect & Comp Engn Mississippi State MS 39762 USA

ISBN: (纸本)9780819481597

In this paper, we evaluate several popular and simple matched-filter-based target detection algorithms using the online accessible HyMap data and ground truth provided by Digital Imaging and Remote Sensing (DIRS) Laboratory at Rochester Institute of Technology, and compare with their regularized versions. Based on both self and blind tests, the performance of these widely used detectors is objectively and fairly compared. Based on our experience, some recommendations for possible system improvements are provided.

关键词： hyperspectral imagery Target Detection

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SHARE 2012: Analysis of Illumination Differences on Targets in hyperspectral imagery

SHARE 2012: Analysis of Illumination Differences on Targets ...

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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XIX

作者： Ientilucci, Emmett J. Rochester Inst Technol 54 Lomb Mem Dr Rochester NY 14623 USA

ISBN: (纸本)9780819495341

This paper looks at a new data set that has been designed to analyze the various impacts of illumination change on targets. Similar targets were placed on different backgrounds where spectral signatures were analyzed to determined impacts of background type. Targets were also placed next to tree lines where they were fully illuminated but with the possible impact of tree shine. hyperspectral, multispectral, and LiDAR modalities were used to image the targets in the above mentioned scenarios. Applications such as target detection with results are used to assess difficulties with finding such targets and impacts on illumination.

关键词： Physics based modeling Target detection hyperspectral imaging Atmospheric Propagation Radiance

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Comparison of Bad Pixel Replacement Techniques for LWIR hyperspectral imagery 24

Comparison of Bad Pixel Replacement Techniques for LWIR Hype...

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24th SPIE conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery

作者： Martin, Jacob A. Islas, Genesis RYMT Air Force Res Lab Wright Patterson AFB OH 45433 USA Arizona State Univ Tempe AZ 85287 USA

ISBN: (数字)9781510618008

ISBN: (纸本)9781510618008

This paper compares four different bad pixel replacement algorithms for LWIR hyperspectral imagery representing both physics-based unmixing and statistics-based methods. Testing is performed on a measured dataset using detection performance as a comparison metric and synthetic dataset with reconstruction error and detection performance used to compare. It is found that a statistics-based covariance matched filter method generally performs best of the four methods tested but at significantly greater computational cost. A simple plate metaphor interpolation is the fastest technique but struggles to correct pixels where sharp spectral or spatial difference are present. Meanwhile, an endmember-based unmixing approach provided a balance between the two in terms of computational complextity and reconstruction performance.

关键词： hyperspectral imaging Long wavelength infrared Detection and tracking algorithms Sensors Target detection hyperspectral target detection Reconstruction algorithms

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Improved forward floating selection algorithm for chicken contaminant detection in hyperspectral imagery

Improved forward floating selection algorithm for chicken co...

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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XIII

作者： Nakariyakul, Songyot Casasent, David P. Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9780819466877

Reduction of the potential health risks to consumers caused by food-borne infections is a very important food safety issue of public concern;one of the leading causes of food-borne illnesses is fecal contamination. We consider detecting fecal contaminants on chicken carcasses using hyperspectral imagery. We introduce our new improved forward floating selection (IFFS) algorithm for feature selection of the wavebands to use in hyperspectral data for classification. Our IFFS algorithm is an improvement on the state-of-the-art sequential forward floating selection (SFFS) algorithm. Our initial results indicate that our method gives an excellent detection rate and performs better than other quasi-optimal feature selection algorithms.

关键词： chicken inspection feature selection fecal contamination food safety forward floating selection (improved) hyperspectral data product inspection.

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Evaluation of Different Structural Models for Target Detection in hyperspectral imagery

Evaluation of Different Structural Models for Target Detecti...

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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVI

作者： Pena-Ortega, Carolina Velez-Reyes, Miguel Univ Puerto Rico Lab Appl Remote Sensing & Image Proc Dept Elect & Comp Engn Mayaguez PR 00681 USA

ISBN: (纸本)9780819481597

Target detection is an essential component for defense, security and medical applications of hyperspectral imagery. Structured and unstructured models are used to model variability of spectral signatures, for the design of information extraction algorithms. In structured models, spectral variability is modeled using different geometric representations. In linear approaches, the spectral signatures are assumed to be generated by the linear combination of basis vectors. The nature of the basis vectors, and its allowable linear combinations, define different structural models such as vector subspaces, polyhedral cones, and convex hulls. In this paper, we investigate the use of these models to describe background of hyperspectral images, and study the performance of target detection algorithms based on these models. We also study the effect of the model order in the performance of target detection algorithms based on these models. Results show that model order is critical to algorithm performance. Underfitting or overfitting result in poor performance. Models based on subspace are of lower order than those based on polyhedral cones or convex hulls. With good target to background contrast all models perform well.

关键词： hyperspectral imagery Target detection Structured models Endmember extraction

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