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检索条件"任意字段=Conference on Algorithms for Multispectral and Hyperspectral Imagery II"
408 条 记 录,以下是81-90 订阅
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Nonlinear signal contamination effects for gaseous plume detection in hyperspectral imagery
Nonlinear signal contamination effects for gaseous plume det...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery Xii
作者: Theiler, James Foy, Bernard R. Fraser, Andrew M. Los Alamos Natl Lab Los Alamos NM 87544 USA
When a matched filter is used for detecting a weak target in a cluttered background (such as a gaseous plume in a hyperspectral image), it is important that the background clutter be well-characterized. A statistical ... 详细信息
来源: 评论
Urchin: An RX-derivative accounting for anisotropies in whitened clutter
Urchin: An RX-derivative accounting for anisotropies in whit...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVI
作者: Daniel, Brian J. Schaum, Alan P. USN Res Lab Washington DC 20375 USA
The most widespread methods of anomaly detection in hyperspectral imagery (HSI) are the RX algorithm and its variants (e.g. Subspace RX). RX is optimal for any unimodal elliptically contoured distribution (ECD), and i... 详细信息
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Analysis of spectral data using spatial context  25
Analysis of spectral data using spatial context
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25th SPIE conference on algorithms, Technologies, and Applications for multispectral and hyperspectral imagery
作者: Metcalf, Jeremy P. Olsen, Richard C. Naval Postgrad Sch 833 Dyer Rd Monterey CA 93943 USA
Spectral LiDAR analysis can be enabled by the use of spatial context, spatial structure, and prior information in the form of map data. LiDAR intensity imagery are analyzed here using an object-based approach which se... 详细信息
来源: 评论
Anomaly detection of stationary targets in pan-sharpened IKONOS multis pectral imagery
Anomaly detection of stationary targets in pan-sharpened IKO...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XI
作者: Meng, J Marble, AE Zhang, Y Secker, J Univ New Brunswick Fredericton NB E3B 5A3 Canada
multispectral (MS) and hyperspectral (HS) sensors can facilitate target or anomaly detection in clutter since natural clutter and man-made objects differ in the energy they radiate across the electromagnetic spectrum.... 详细信息
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SLIC Superpixels for Efficient Graph-Based Dimensionality Reduction of hyperspectral imagery  21
SLIC Superpixels for Efficient Graph-Based Dimensionality Re...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XXI
作者: Zhang, Xuewen Chew, Selene E. Xu, Zhenlin Cahill, Nathan D. Rochester Inst Technol Chester F Carlson Ctr Imaging Sci Rochester NY 14623 USA Rochester Inst Technol Sch Math Sci Ctr Appl & Computat Math Rochester NY 14623 USA
Nonlinear graph-based dimensionality reduction algorithms such as Laplacian Eigenmaps (LE) and Schroedinger Eigenmaps (SE) have been shown to be very effective at yielding low-dimensional representations of hyperspect... 详细信息
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Regularization for spectral matched filter and RX anomaly detector
Regularization for spectral matched filter and RX anomaly de...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XiiI
作者: Nasrabadi, Nasser M. Army Res Lab Adelphi MD 20783 USA
This paper describes a new adaptive spectral matched filter and a modified RX-based anomaly detector that incorporates the idea of regularization (shrinkage). The regularization has the effect of restricting the possi... 详细信息
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Using Worldview-2 Vis-NIR multispectral imagery to Support Land Mapping and Feature Extraction Using Normalized Difference Index Ratios
Using Worldview-2 Vis-NIR Multispectral Imagery to Support L...
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Annual conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XViiI
作者: Wolf, Antonio F. Ball Aerosp & Technol Corp Fairborn OH 45324 USA
multispectral imagery (MSI) provides information to support decision making across a growing number of private and industrial applications. Among them, land mapping, terrain classification and feature extraction rank ... 详细信息
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Restoration, target recognition, and countermeasure removal using the Computed Tomographic Imaging Spectrometer (CTIS)
Restoration, target recognition, and countermeasure removal ...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery ViiI
作者: Schau, HC Soulon, RE Hall, GL Garrood, DJ Raytheon Electronic Systems (United States)
Computed Tomographic Imaging Spectrometers are described and shown to be capable of providing real-time flash multispectral imagery. Restoration equations and techniques for optimizing performance are described. Exper... 详细信息
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hyperspectral-multispectral image fusion using nearest-neighbor diffusion-based sharpening algorithm  28
Hyperspectral-multispectral image fusion using nearest-neigh...
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conference on algorithms, Technologies, and Applications for multispectral and hyperspectral Imaging XXViiI
作者: Ducay, Rey Messinger, David W. Rochester Inst Technol Chester F Carlson Ctr Imaging Sci 54 Lomb Mem Dr Rochester NY 14623 USA
The nearest-neighbor diffusion-based algorithm (NNDiffuse) has seen great success in multispectral pansharpening. Here, we extend the capabilities of NNDiffuse to perform image fusion of high-res multispectral and low... 详细信息
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Anomaly detection in hyperspectral imagery: statistics- vs. graph-based algorithms  22
Anomaly detection in hyperspectral imagery: statistics- vs. ...
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22nd SPIE conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XXii
作者: Berkson, Emily E. Messinger, David W. Rochester Inst Technol Chester F Carlson Ctr Imaging Sci 54 Lomb Mem Dr Rochester NY 14623 USA
Anomaly detection (AD) algorithms are frequently applied to hyperspectral imagery, but different algorithms produce different outlier results depending on the image scene content and the assumed background model. This... 详细信息
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