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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31-40 订阅
排序:
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
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 desi... 详细信息
来源: 评论
Non-literal pattern recognition method for hyperspectral imagery exploitation using evolutionary computing methods
Non-literal pattern recognition method for hyperspectral ima...
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3rd Spectrometry conference
作者: Burman, JA GTE Government Systems (United States)
multispectral and hyperspectral image sets contain large amounts of data which are difficult to exploit by manual means because they are comprised of multiple bands of image data that are not easily visualized or asse... 详细信息
来源: 评论
Enhancement of Flow-Like Structures in hyperspectral imagery using Tensor Nonlinear Anisotropic Diffusion
Enhancement of Flow-Like Structures in Hyperspectral Imagery...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVii
作者: Marin-McGee, Maider Velez-Reyes, Miguel Univ Puerto Rico Lab Appl Remote Sensing & Image Proc Mayaguez PR USA
Analyzing flow-like patterns in images for image understanding is an active research area but there have been much less attention paid to the process of enhancement of those structures. The completion of interrupted l... 详细信息
来源: 评论
hyperspectral and SAR imagery data fusion with positive Boolean function
Hyperspectral and SAR imagery data fusion with positive Bool...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery IX
作者: Chang, YL Chen, CT Han, CC Fan, KC Chen, KS Chang, JH St Johns & St Marys Inst Tech Dept Comp Sci & Informat Engn Taipei Taiwan
High-dimensional spectral imageries obtained from multispectral, hyperspectral or even ultraspectral bands generally provide complementary characteristics and analyzable information. Synthesis of these data sets into ... 详细信息
来源: 评论
Realtime Online processing for remote sensing imagery
Realtime Online processing for remote sensing imagery
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery IX
作者: Du, Q Shia, BE Texas A&M Univ Dept Elect Engn & Comp Sci Kingsville TX 78363 USA
The realtime implementation is discussed for several detection and classification techniques: Orthogonal Subspace Projection (OSP), Filter Vector Alorithm (FVA), Generalized Likelihood Ratio Test (GLRT), RX algorithm,... 详细信息
来源: 评论
Wavelet-based dimension reduction for hyperspectral image classification
Wavelet-based dimension reduction for hyperspectral image cl...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery IX
作者: Bosch, EH Lin, JE Topog Engn Ctr Engineer Res & Dev Ctr Alexandria VA 22315 USA
For dimension reduction of hyperspectral imagery, we propose a modification to Principal Component Analysis (PCA), Karhunen-Loeve Transform, by choosing a set of basis vectors corresponding to the proposed transformat... 详细信息
来源: 评论
Selecting training and test images for optimized anomaly detection algorithms in hyperspectral imagery through robust parameter design
Selecting training and test images for optimized anomaly det...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVii
作者: Mindrup, Frank M. Friend, Mark A. Bauer, Kenneth W. USAF Inst Technol Wright Patterson AFB OH USA
There are numerous anomaly detection algorithms proposed for hyperspectral imagery. Robust parameter design (RPD) techniques have been applied to some of these algorithms in an attempt to choose robust settings capabl... 详细信息
来源: 评论
Biased Normalized Cuts for Target Detection in hyperspectral imagery  22
Biased Normalized Cuts for Target Detection in Hyperspectral...
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22nd SPIE conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XXii
作者: Zhang, Xuewen Dorado-Munoz, Leidy P. Messinger, David W. Cahill, Nathan D. Rochester Inst Technol Chester F Carlson Ctr Imaging Sci Rochester NY 14623 USA Rochester Inst Technol Sch Math Sci Image Comp & Anal Lab Rochester NY 14623 USA
The Biased Normalized Cuts (BNC) algorithm is a useful technique for detecting targets or objects in RGB imagery. In this paper, we propose modifying BNC for the purpose of target detection in hyperspectral imagery. A... 详细信息
来源: 评论
ICA mixture model for unsupervised classification of non-Gaussian classes in multi/hyperspectral imagery
ICA mixture model for unsupervised classification of non-Gau...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery IX
作者: Shah, CA Arora, MK Varshney, PK Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA
Conventional remote sensing classification techniques model the data in each class with a multivariate Gaussian distribution. Inadequacy of such algorithms stems from Gaussian distribution assumption for the class-com... 详细信息
来源: 评论
Ship Detection in MODIS imagery
Ship Detection in MODIS Imagery
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XVii
作者: Dorado-Munoz, Leidy P. Velez-Reyes, Miguel Univ Puerto Rico Lab Appl Remote Sensing & Image Proc Mayaguez PR 00680 USA
Understanding the capabilities of satellite sensors with spatial and spectral characteristics similar to those of MODIS for Maritime Domain Awareness (MDA) is of importance because of the upcoming NPOES with 100 minut... 详细信息
来源: 评论