Results 281 to 290 of about 3,522,681 (315)
Unattended processing of shipborne hyperspectral reflectance measurements
Remote Sensing of Environment, 2013 AbstractHyperspectral remote-sensing reflectance (Rrs) from above-surface (ir)radiance measurements is derived using a new, automated method that is suitable for use on moving platforms. The sensors are mounted on a rotating platform that compensates for changing solar and ship azimuth angles, optimizing the sensor azimuth for minimal contribution of ...
Stefan Simis
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Modeling the hyperspectral reflectance signal of moist sandy soils
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010Removing soil moisture effects in spectral images is critical for agricultural remote sensing. Yet, current available soil moisture reflectance models fail to properly address subtly, yet significant, moisture induced reflectance changes within soils of the same texture class.
Ben Somers +3 more
openaire +1 more source
Guang pu xue yu guang pu fen xi = Guang pu, 2010
An experiment was designed to determine whether nitrogen concentrations could be predicted from reflectance (R) spectra of rape leaves in laboratory, and, if so, whether the predictive spectral features could be correlated with nitrogen concentration of simple canopies of rape.
Yuan, Wang +3 more
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An experiment was designed to determine whether nitrogen concentrations could be predicted from reflectance (R) spectra of rape leaves in laboratory, and, if so, whether the predictive spectral features could be correlated with nitrogen concentration of simple canopies of rape.
Yuan, Wang +3 more
openaire +1 more source
Combine Reflectance with Shading Component for Hyperspectral Image Classification
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Intrinsic image decomposition (IID) of hyperspectral images (HSIs) aims to separate the reflectance cube and shading component from the original image data. The reflectance cube contains the spectral information reflecting the intrinsic properties of the material, whereas the shading component contains the spatial information reflecting geometric ...
Xudong Jin, Yanfeng Gu
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Spectral Reflectance Recovery with Interreflection Using a Hyperspectral Image
2017The capture of scene spectral reflectance (SR) provides a wealth of information about the material properties of objects, and has proven useful for applications including classification, synthetic relighting, medical imaging, and more. Thus many methods for SR capture have been proposed.
Hiroki Okawa +3 more
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Near-infrared hyperspectral reflective confocal microscopy
SPIE Proceedings, 2016A Near-Infrared HyperSpectral Reflective Confocal Microscopy (NIHS-RCM) is proposed in order to get high resolution images of deep biological tissues such as skin. The microscopy system uses a super-continuum laser for illumination, an acousto-optic tunable filter (AOTF) for rapid selection of near-infrared spectrum, a resonant galvanometer scanner for
Wei Huang +4 more
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Field detection and classification of citrus Huanglongbing based on hyperspectral reflectance
Computers and Electronics in Agriculture, 2019Citrus Huanglongbing (HLB), also called citrus greening, is the most destructive disease in the citrus industry. Detecting the disease as early as possible and then eradicating infected roots can effectively control its spread. For the Shatangju mandarin
Xiaoling Deng +4 more
semanticscholar +1 more source
Modeling Rice Growth with Hyperspectral Reflectance Data
Crop Science, 2004Field experiments were conducted to study the seasonal changes of rice reflectance spectra and approaches to model rice (Oryza sativa L.) growth with high‐resolution reflectance data. Ground‐based remotely sensed canopy spectra and growth parameters of rice plants, including fresh weights of leaves and shoots, dry weights of leaves and shoots, plant ...
Chwen‐Ming Yang, Rong‐Kuen Chen
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Hyperspectral retrieval of surface reflectances: A new scheme
AIP Conference Proceedings, 2013Here, we present a new prototype algorithm for the simultaneous retrieval of the atmospheric profiles (temperature, humidity, ozone and aerosol) and the surface reflectance from hyperspectral radiance measurements obtained from air/space borne, hyperspectral imagers.
Jean-Claude Thelen, Stephan Havemann
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, 2020
Rapid estimation of crop nitrogen (N) status is helpful for achieving precise N fertilizer management, so as to promote the collaborative improvement of yield, quality and N use efficiency.
Shao-Min Chen +7 more
semanticscholar +1 more source
Rapid estimation of crop nitrogen (N) status is helpful for achieving precise N fertilizer management, so as to promote the collaborative improvement of yield, quality and N use efficiency.
Shao-Min Chen +7 more
semanticscholar +1 more source