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Remote sensing

A New Deep Generative Network for Unsupervised Remote Sensing Single Image Super Resolution

A New Deep Generative Network for Unsupervised Remote Sensing Single Image Super Resolution

... demand remote sensing imaging applications requiring fine spatial ...(LR) remote sensing data from an unsupervised ...of remote sensing ...

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GIS and Remote Sensing for Natura 2000 Monitoring in Mediterranean Biogeographic Region

GIS and Remote Sensing for Natura 2000 Monitoring in Mediterranean Biogeographic Region

... of remote sensing in detection and monitoring of NATURA 2000 habitats and site quality key parameters is stated by various authors (Lang and Langanke, ...

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GNSS-R as a source of opportunity for remote sensing of the cryosphere

GNSS-R as a source of opportunity for remote sensing of the cryosphere

... other remote sensing purposes have extended the GNSS-R concept to the more general definition previously ...satellite-based remote sensing ...

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Classifiers ensemble in remote sensing: a comparative analysis

Classifiers ensemble in remote sensing: a comparative analysis

... Finally, we will try to demonstrate the diversity hypothesis, by testing if the ensembles with better global accuracy results are those which also show higher diversity value. There is a kind of intuition about diversity ...

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Active and passive remote sensing for monitoring the planetary boundary layer height

Active and passive remote sensing for monitoring the planetary boundary layer height

... The planetary boundary layer (PBL) is the lowest part of the atmosphere directly influenced by its contact with the land surface and it usually responds to changes in surface forcing in a time scale of an hour or less. ...

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Remote sensing lower thermosphere wind profiles using non-specular meteor echoes

Remote sensing lower thermosphere wind profiles using non-specular meteor echoes

... velocity profiles between 93 km and 110 km altitude by tracking non-specular meteor echoes as neutral winds transport the plasma trails. This requires a large VHF radar with interferometric capability able to point ...

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System Engineering Approach to Initial Design of LEO Remote Sensing Missions

System Engineering Approach to Initial Design of LEO Remote Sensing Missions

... SS-O remote sensing missions, the interactions between the three different design disciplines as orbit, payload and bus design are ...RT, remote sensing mission duration, t PL , and ...

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Shallow water remote sensing using sonar improved with geostatistics and stochastic resonance data processing

Shallow water remote sensing using sonar improved with geostatistics and stochastic resonance data processing

... During the work to integrate navigational and sonar data one question arouse, how to increase the accuracy of sensors that sense weak signals from some physical variables, for example in our navigational data set, given ...

156

Spectroscopic remote sensing of volcanic gases:  The Ecuadorian case

Spectroscopic remote sensing of volcanic gases: The Ecuadorian case

... In recent years, Ecuador have experienced the reactivation of four main continental volcanoes: Guagua Pichincha (1999-2000), Tungurahua (1999 to present), El Reventador (2002 to present) and Cotopaxi (2002 to present), ...

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AERONET  in the context of remote sensing from space and global modeling

AERONET in the context of remote sensing from space and global modeling

... Figure.3.- Comparison of global fields for annual averages of the mid-visible (.55µm) aerosol optical thickness based on available remote sensing data. MODIS (Mo) data refer to the year 2001 and MISR (Mi) ...

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LiDAR remote sensing applied to forest resources assessment

LiDAR remote sensing applied to forest resources assessment

... Non parametric models represent an alternative. These models are not based on the assumptions of a particular probability distribution or on the independency and constant variance of the errors. The analysis is only ...

129

Remote sensing detection of potential sites in a
				prehispanic domestic agricultural terrace system in cerro San Lucas,
				Teotihuacan, Mexico

Remote sensing detection of potential sites in a prehispanic domestic agricultural terrace system in cerro San Lucas, Teotihuacan, Mexico

... Barba, L., 1994, A Methodology for the Study of Buried Archaeological Sites, in Scott, D.A., Meyers P. (eds.), Archaeometry for Pre- Columbian Sites and Artifacts, Proceedings of a Symposium, University of California at ...

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Lidar Range-Resolved Optical Remote Sensing of the Atmosphere.

Lidar Range-Resolved Optical Remote Sensing of the Atmosphere.

... El libro “Lidar. Range –Resolved Optical Remote Sensing of the Atmosphere”, editado por el Dr. Claus Weitkamp y publicado por Springer esta compuesto a partir de contribuciones de un grupo de eminentes ...

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A novel semi fragile forensic watermarking scheme for remote sensing images

A novel semi fragile forensic watermarking scheme for remote sensing images

... The general coding scheme must be adapted to the par- ticular characteristics of the source, in order to maximize both the compression ratio and the image fidelity. In this case, the most important issue is that the ...

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AERONET  in the context of remote sensing from space and global modeling

AERONET in the context of remote sensing from space and global modeling

... Ground-based remote sensing of the AERONET robotic sun-/sky-photometer network provides local detail on essential all aerosol ...from remote sensing or global modeling, individual data-sets ...

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Para descargar el documento haz clic AQUÍ

Para descargar el documento haz clic AQUÍ

... fact, remote sensing data is converting of spectral reflectance value to digital number (DN) known as a ...in remote sensing data called “Band” or ...in remote sensing ...

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Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets

Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets

... Hyperspectral Remote Sensing, He was the General Co-Chair of the 3rd IEEE GRSS Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote sensing (WHISPERS’2011) and has been a ...

11

Deep Pyramidal Residual Networks for Spectral Spatial Hyperspectral Image Classification

Deep Pyramidal Residual Networks for Spectral Spatial Hyperspectral Image Classification

... for remote sensing data classification and segmentation ...in remote sensing data management and analysis because they pursue to uncover hidden data interactions and correlations, which ...

22

Sampling from the

Sampling from the 𝒢I0 distribution

... Synthetic Aperture Radar (SAR) is a coherent radar of high resolution widely used in remote sensing. It works using an antenna in a movable platform. The antenna emits a signal, and the sensor measures the ...

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implementation of EF from SEBS in a lue model in a rapeseed cropland

implementation of EF from SEBS in a lue model in a rapeseed cropland

... This research has been conducted in the framework of project CGL2009–11979 (MICINN) and funded together with ERDF (The European Regional Development Fund) funds. Authors wish to thank the ESA for providing us the ...

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