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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41-50 订阅
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An Analysis Task Comparison of Uncorrected vs. Geo-registered Airborne hyperspectral imagery  21
An Analysis Task Comparison of Uncorrected vs. Geo-registere...
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conference on algorithms and Technologies for multispectral, hyperspectral, and Ultraspectral imagery XXI
作者: Sun, Yihang Kerekes, John Rochester Inst Technol Rochester NY 14623 USA
Geo-registration is the task of assigning geospatial coordinates to the pixels of an image and placing them in a geographic coordinate system. However, the process of geo-registration can impair the quality of the ima... 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
Robust spatial and spectral feature extraction for multispectral and hyperspectral imagery
Robust spatial and spectral feature extraction for multispec...
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conference on algorithms for multispectral and hyperspectral imagery IV
作者: Pinzon, JE Ustin, SL Castaneda, CM Pierce, JF Costick, LA Univ Calif Davis Dept Math Davis CA 95616 USA
We present a hierarchical classification technique that discriminates broad categories of surface materials in terms of ground true features, such as water, vegetation, and soils from spectral information. Subsequentl... 详细信息
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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
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
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Detection in hyperspectral imagery
Detection in hyperspectral imagery
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conference on algorithms for multispectral and hyperspectral imagery IV
作者: Schweizer, SM Moura, JMF Carnegie Mellon Univ ECE Dept Pittsburgh PA 15213 USA
hyperspectral sensors collect hundreds of images in contiguous and narrowly spaced spectral bands. They have the potential to simultaneously provide high spatial and spectral resolution of targets of interest in Autom... 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
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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
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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
LINES OF COMMUNICATION IN LANDSAT TM imagery
LINES OF COMMUNICATION IN LANDSAT TM IMAGERY
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conference on algorithms for multispectral and hyperspectral imagery
作者: GEE, SJ HUGHES AIRCRAFT CO DEPT IMAGE EXPLOITATEL SEGUNDOCA 90245
Image analysis is especially laborintensive in the multispectral domain due to the non-intuitive nature of the data. The data is frequently separated by frequency range into a set of image planes. For image analysts (... 详细信息
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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