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Hyperspectral Imaging

Color measurement of tea leaves at different drying periods using hyperspectral imaging technique.

Color measurement of tea leaves at different drying periods using hyperspectral imaging technique.

... infrared hyperspectral imaging technique, which covers the spectral wavelengths of 380 to 1030 nm, to determine color parameters of tea leaves during different drying ...

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Hyperspectral imaging for monitoring oxygen saturation levels during normothermic kidney perfusion

Hyperspectral imaging for monitoring oxygen saturation levels during normothermic kidney perfusion

... Abstract. The development of improved preservation techniques and the reliable assessment of donor grafts are main fields of research in transplantation medicine. Normothermic machine perfusion (NMP) is a promising ...

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Detection of Phosphatidylcholine-Coated Gold Nanoparticles in Orthotopic Pancreatic Adenocarcinoma using Hyperspectral Imaging.

Detection of Phosphatidylcholine-Coated Gold Nanoparticles in Orthotopic Pancreatic Adenocarcinoma using Hyperspectral Imaging.

... Hyperspectral imaging in combination with dark field microscopy was used to assess nanopar- ticle uptake and distribution within histology tissue ...CytoViva Hyperspectral Im- aging System (CytoViva ...

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Detection of Tephra Layers in Antarctic Sediment Cores with Hyperspectral Imaging

Detection of Tephra Layers in Antarctic Sediment Cores with Hyperspectral Imaging

... spectroscopy, hyperspectral imaging, also known as imaging spectroscopy, allowing simultaneous spectroscopic measurement of every pixel in an image, has been applied to a wide range of fields [14–22] ...

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SOIL SPECTRAL IMAGING: MOVING FROM PROXIMAL SENSING TO SPATIAL QUANTITATIVE DOMAIN

SOIL SPECTRAL IMAGING: MOVING FROM PROXIMAL SENSING TO SPATIAL QUANTITATIVE DOMAIN

... Stuffler, T., Förster, K., Hofer, S., Leipold, M., Sang, B., Kaufmann, H., Penné, B., Mueller, A., and Chlebek, C. (2009) Hyperspectral imaging—an advanced instrument concept for the EnMAP mission ...

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PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED  SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY

PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY

... Hyperspectral imaging (Goetz, 2009) sensors capture an image scene in hundreds of fine contiguous spectral bands in ultraviolet to infrared region providing rich spectral and spatial ...for ...

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Mineralogical Mapping using Field and Image Based Spectra in Parts of Delhi-Aravalli Fold Belt, Rajasthan, India

Mineralogical Mapping using Field and Image Based Spectra in Parts of Delhi-Aravalli Fold Belt, Rajasthan, India

... which hyperspectral imaging technology has been well established as one of the most sought after exploration tools in geology and it is only constrained by availability of data (Goetz et ...

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Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal

Geochemical characterization of supraglacial debris via in situ and optical remote sensing methods: a case study in Khumbu Himalaya, Nepal

... Limitations to Hyperion data use include relatively low signal-to-noise ratios of approximately 50:1, compared with 500:1 for airborne hyperspectral imaging (Pearlman et al., 2003; Kruse et al., 2003) and ...

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Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images

Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images

... Hyperspectral Imaging is a technique that collects information from the electromagnetic spectrum, storing the value of the spectrum band for each pixel of the ...of Hyperspectral Images datasets, ...

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Rapid recovery of cyanobacterial pigments in desiccated biological soil crusts following addition of water.

Rapid recovery of cyanobacterial pigments in desiccated biological soil crusts following addition of water.

... Hyperspectral imaging [25] was used to characterize the temporal changes in the distribution of pigments in the crusts following the addition of ...respectively. Imaging was also performed on very ...

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Novel Method for Detection of Gastric Cancer by Hyperspectral Image Technique

Novel Method for Detection of Gastric Cancer by Hyperspectral Image Technique

... novel hyperspectral imaging algorithm for gastric cancer detection by the medical community, however, due to the amounts of data and the highly computational nature of the algorithms, running these complex ...

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Low Complexity DCT-based DSC approach forHyperspectral Image Compression with Arithmetic Code

Low Complexity DCT-based DSC approach forHyperspectral Image Compression with Arithmetic Code

... Hyperspectral imaging is a powerful technique and has been used in large number of applications, such as geology,earth-resource management, pollution monitoring, meteorology, and military ...surveillance. ...

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GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS

GEOMETRIC AND REFLECTANCE SIGNATURE CHARACTERIZATION OF COMPLEX CANOPIES USING HYPERSPECTRAL STEREOSCOPIC IMAGES FROM UAV AND TERRESTRIAL PLATFORMS

... Novel hyperspectral imaging technology based on a variable air gap Fabry-Perot interferometer (FPI) was used in this ...format hyperspectral imager operating in the time-sequential ...

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MULTIPLE REFLECTION EFFECTS IN NONLINEAR MIXTURE MODEL FOR  HYPERSPECTRAL IMAGE ANALYSIS

MULTIPLE REFLECTION EFFECTS IN NONLINEAR MIXTURE MODEL FOR HYPERSPECTRAL IMAGE ANALYSIS

... Manolakis D., Siracusa C., Shaw G., 2001, Hyperspectral subpixel target detection using the linear mixing model, IEEE Trans. Geosci. Remote Sens, (39) 1392-1409. The International Archives of the Photogrammetry, ...

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AN EFFICIENT INITIALIZATION METHOD FOR K-MEANS CLUSTERING OF HYPERSPECTRAL DATA

AN EFFICIENT INITIALIZATION METHOD FOR K-MEANS CLUSTERING OF HYPERSPECTRAL DATA

... To address the initialization problem, different methods have been proposed especially for hyperspectral imagery. In (Sun et al., 2013), an artificial bee colony algorithm is used to find the appropriate position ...

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HYPERSPECTRAL HYPERION IMAGERY ANALYSIS AND ITS APPLICATION USING SPECTRAL ANALYSIS

HYPERSPECTRAL HYPERION IMAGERY ANALYSIS AND ITS APPLICATION USING SPECTRAL ANALYSIS

... EO1-Hyperion hyperspectral image consists of number of continuous spectral bands, each pixel of which stored the energy as a digital number (DN). Stacked image is used to convert DN into Radiance values. The ...

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Conectividade estrutural cerebral, alfabetização e desempenho cognitivo em uma amostra de idosos da comunidade: estudo por análise de ressonância magnética utilizando imagens por tensor de difusão

Conectividade estrutural cerebral, alfabetização e desempenho cognitivo em uma amostra de idosos da comunidade: estudo por análise de ressonância magnética utilizando imagens por tensor de difusão

... tensor imaging post-processing: For each subject, and before estimating the specific diffusion maps, all diffusion images were visually inspected for ...Planar Imaging readout ...

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Urachal Carcinoma: Imaging Findings

Urachal Carcinoma: Imaging Findings

... The differential diagnosis for EOM metastasis includes thyroid-related orbitopathy and idiopathic orbital myositis, which are the common causes of EOM enlargement. Anti-thyroid antibodies are usually detectable on ...

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POTENTIAL APPLICATION OF NOVEL HYPERSPECTRAL LIDAR FOR MONITORING CROPS NITROGEN STRESS

POTENTIAL APPLICATION OF NOVEL HYPERSPECTRAL LIDAR FOR MONITORING CROPS NITROGEN STRESS

... by hyperspectral remote sensing method is helpful for estimating the status of crops and the determination of drops of N fertilizer in seasons (Raun et ...by hyperspectral remote sensing method. ...

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Magnetic resonance imaging of small bowel crohn’s disease

Magnetic resonance imaging of small bowel crohn’s disease

... parallel imaging, and new software design with fast and ultrafast pulse-sequence developments have become essential req- uisites for MRI evaluation of the small ...MR imaging has emerged as a valuable tool ...

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