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

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algorithms for multispectral, hyperspectral, and ultraspectral imagery VII

Algorithms for multispectral, hyperspectral, and ultraspectr...

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algorithms for multispectral, hyperspectral, and Ultraspectral imagery VII

The proceedings contains 59 papers from the conference on algorithms for multispectral, hyperspectral, and Ultraspectral imagery VII. Topics discussed include: spectral subspace matched filtering;automated optimal channel selection for spectral imaging sensors;band selection for lossless image compression;automated hyper/multispectral image analysis tools;and efficient materials mapping for hyperspectral data.

关键词： Image analysis

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algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XI - PART - I

Algorithms and Technologies for Multispectral, Hyperspectral...

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algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XI

The proceedings contain 43 papers from the conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XIf - PART - I. The topics discussed include: spatial-spectral filtering for the detection of point targets in multi- and hyperspectral data;compression technique for plume hyperspectral images;generation of a combined dataset of simulated radar and EO/IR imagery;a procedure for emdding effluent plumes into LWIR imagery;the invariant algorithm for identification and detection of multiple gas plumes and weak releases;on the generation of training samples for neural netwok-based mixed pixel classification;and multi-resolution segmentation for improved hyperspectral mapping.

关键词： algorithms

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Proceedings of SPIE: algorithms for multispectral and hyperspectral imagery IV

Proceedings of SPIE: Algorithms for Multispectral and Hypers...

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algorithms for multispectral and hyperspectral imagery IV

This Volume 3372 of the conference proceedings contains 22 papers. Topics discussed include algorithms for multispectral and hyperspectral imagery, detection and classification, image enhancement and data compression,... 详细信息

关键词： Imaging techniques

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Proceedings of SPIE: algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery VIII

Proceedings of SPIE: Algorithms and Technologies for Multisp...

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algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery VIII

This Volume 4725 of the conference proceedings contains 59 papers. Topics discussed include band selection, endmember selection and feature extraction, emissive remote sensing applications, atmospheric characterization and correction, spectral applications and methodology, detection and identification, clustering and classification, multispectral thermal imager, atmospheric characterization and correction, imaging spectrometry projects and sharpening and compression.

关键词： Spectrum analysis

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algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVIII

Algorithms and Technologies for Multispectral, Hyperspectral...

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18th Annual conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery

ISBN: (纸本)9780819490681

The proceedings contain 85 papers. The topics discussed include: confusion and clairvoyance: some remarks on the composite hypothesis testing problem;hyperspectral anomaly detection based on variable dimension for clutter subspace;parameter estimation for support vector anomaly detection in hyperspectral imagery;leveraging lidar data to aid in hyperspectral image target detection in the radiance domain;an automatic detection software for differential reflection spectroscopy;a multi-temporal analysis approach for land cover mapping in support of nuclear incident response;mid-wave IFTS measurements of a laboratory-scale laminar flame;parking lot process model incorporated into DIRSIG scene simulation;using WorldView-2 vis-NIR multispectral imagery to support land mapping and feature extraction using normalized difference index ratios;a LWIR hyperspectral imager using a Sagnac interferometer and cooled HgCdTe detector array;and combination of a dispersive spectral imager and of a static Fourier transform spectral imager: study of concept.

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Demonstration of the accuracy of improved resolution hyperspectral imagery

Demonstration of the accuracy of improved resolution hypersp...

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

作者： Vrabel, J Doraiswamy, P McMurtrey, J Stern, A Imaging Technol Consultants Centreville VA 20120 USA

ISBN: (纸本)0819444758

Numerous researchers have demonstrated the accuracy and utility of improved spatial resolution multispectral imagery by sharpening it with higher spatial resolution panchromatic imagery. A much more limited number of researchers have sharpened hyperspectral imagery with panchromatic imagery. In this research we have developed an algorithm that spatially sharpens specific ranges of hyperspectral bands with spectrally correlated multispectral bands of a higher spatial resolution to improve the spatial resolution of the hyperspectral imagery while maintaining or improving it's spectral fidelity. Preliminary validation of the algorithm has been conducted using a 7m AVIRIS scene of the Maryland Eastern Shore containing corn, soybean, and wheat fields. This data was used to simulate 28m HSI and 7m MSI that were used in the sharpening process. Initial analysis has verified the spectral accuracy of the sharpened data. In the next phase of the study, airborne spectral data from two different sensors will be used in the sharpening process with the results used as input for USDA/ARS crop yield and stress models.

关键词： fusion sharpening imagery hyperspectral multispectral remote sensing

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Segmentation of multiband imagery using minimum spanning trees 2

Segmentation of multiband imagery using minimum spanning tre...

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conference on algorithms for multispectral and hyperspectral imagery II

作者： Lersch, JR Iverson, AE Webb, BN West, KF SCI APPLICAT INT CORP IMAGE TECHNOL & SYST DIVTUCSONAZ 85711

ISBN: (纸本)0819421391

We present a new technique for the automatic segmentation of multiband imagery. Our approach is based on the computation of a minimum spanning tree over a graph derived from the image. We use a fast graph-search algorithm and a custom tree-splitting algorithm to provide a high level of performance. This approach captures some of the gestalt characteristics of human perceptual grouping and is easily adaptable to a variety of spectral and spatial criteria. We demonstrate our technique on multispectral and hyperspectral imagery of the earth's surface.

关键词： minimum spanning tree graph search image segmentation multispectral hyperspectral

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Spaceborne hyperspectral imagery sharpened with spaceborne multispectral imagery

Spaceborne hyperspectral imagery sharpened with spaceborne m...

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

作者： Vrabel, J Eckstein, BA Mullen, CP Kunze, B Imaging Technol Consultants Inc Centreville VA USA

ISBN: (纸本)081945348X

This paper describes a research project evaluating the success of spatially sharpening spaceborne hyperspectral imagery with higher spatial resolution spaceborne multispectral imagery. In November 2001, NASA launched its first operational hyperspectral sensor, Hyperion, on the Earth Observing-1 spacecraft. Designed to study the utility of hyperspectral imagery collected from a space-based platform, Hyperion's utility is limited for certain applications by its spatial resolution. Successful spatial sharpening of Hyperion imagery with higher spatial resolution spaceborne multispectral imagery such as ASTER or QuickBird should further enhance the value of Hyperion imagery. In a previous two-year research initiative, the primary author demonstrated the utility of sharpening airborne hyperspectral imagery with higher spatial resolution airborne multispectral imagery. In its first year, that study simulated the sharpening process by utilizing a single airborne hyperspectral dataset to derive both a lower spatial resolution hyperspectral cube and a higher spatial resolution multispectral dataset. In its second year, this study utilized two airborne spectral collections on different platforms for the hyperspectral and multispectral datasets, and successfully demonstrated spatial sharpening despite geometry differences between the two platforms. The next logical step is to validate spatial sharpening of space-based hyperspectral imagery using higher resolution spaceborne multispectral imagery. This current research project evaluated the spatial and spectral utility of Hyperion imagery after sharpening with higher spatial resolution spacebome multispectral data from the ASTER or QuickBird satellites.

关键词： hyperspectral multispectral sharpening fusion remote sensing

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An automatic target recognition system for hyperspectral imagery using ORASIS

An automatic target recognition system for hyperspectral ima...

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conference on algorithms for multispectral, hyperspectral, and Ultraspectral imagery VII

作者： Gillis, D Palmadesso, P Bowles, J USN Res Lab Remote Sensing Div Washington DC 20375 USA

ISBN: (纸本)0819440760

We present an automatic target recognition system (ATR) for hyperspectral imagery. The system has been designed to use the output from ORASIS (the Optical Real-time Adaptive Spectral Identification System), a hyperspectral analysis package designed at the Naval Research Laboratory. The ATR system is capable of performing both target recognition (including subpixel identification) and anomaly detection, in near real-time and with no a priori scene knowledge. In this paper we discuss the algorithms we use in the ATR and include experimental results using the HYDICE Forest Radiance data set.

关键词： hyperspectral analysis ATR ORASIS

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Radiometric assessment of four pan-sharpening algorithms as applied to hyperspectral imagery 26

Radiometric assessment of four pan-sharpening algorithms as ...

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conference on algorithms, Technologies, and Applications for multispectral and hyperspectral imagery XXVI

作者： Ducay, Rey Messinger, David W. Rochester Inst Technol Chester F Carlson Ctr Imaging Sci 54 Lomb Mem Dr Rochester NY 14623 USA

ISBN: (数字)9781510635623

ISBN: (纸本)9781510635623

Pan-sharpening {fusing the spatial and spectral information between panchromatic (PAN) and multispectral (MSI) or hyperspectral (HSI) imagery of a common scene is a hot topic in remote sensing due to a wide range of applications such as target detection, vegetation monitoring, and subsurface detection (e.g. landmines), among others. However, the focus of panchromatic sharpening is generally placed on visual quality of the resulting image and image-wide summary spectral accuracy metrics. Here we are interested in radiometrically accurate panchromatic sharpening of hyperspectral imagery with particular emphasis on spectral algorithm performance. Four pansharpening algorithms are applied to hyperspectral imagery and evaluated for spectral/radiometric fidelity. Two datasets from SHARE2012 were used: one which features rural scene elements and one which features an urban scene. Target detection was also performed to evaluate algorithm sharpening performance. We find that although visually the performance of the four algorithms were roughly similar, they differ in spectral/radiometric fidelity as well as performance in ACE target detection.

关键词： hyperspectral imagery panchromatic sharpening ACE target detection

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