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Satellite images acquired at night provide a visually arresting
perspective of the Earth and the human activities that light up the
otherwise mostly dark Earth. These night-time light satellite
images can be compiled into a geospatial time series that represent
an invaluable source of information for both the natural and social
sciences. Night-time light remote sensing has been shown to be
particularly useful for a range of natural science and social
science applications, including studies relating to urban
development, demography, sociology, fishing activity, light
pollution and the consequences of civil war. Key sensors for these
time-series include the Defense Meteorological Satellite
Program’s Operational Linescan System (DMSP/OLS) and the Suomi
National Polar-orbiting Partnership Satellite’s Visible Infrared
Imaging Radiometer Suite Day/Night Band (Suomi NPP/VIIRS DNB). An
increasing number of alternative sources are also available,
including high spatial resolution and multispectral sensors. This
book captures key methodological issues associated with
pre-processing night-time light data, documents state of the art
analysis methods, and explores a wide range of applications. Major
sections focus on NPP/VIIRS DNB processing; inter-calibration
between NPP/VIIRS and DMPS/OLS; applications associated with
socio-economic activities, applications in monitoring urbanization;
and fishing activity monitoring. The chapters in this book were
originally published as a special issue of the International
Journal of Remote Sensing.
Satellite images acquired at night provide a visually arresting
perspective of the Earth and the human activities that light up the
otherwise mostly dark Earth. These night-time light satellite
images can be compiled into a geospatial time series that represent
an invaluable source of information for both the natural and social
sciences. Night-time light remote sensing has been shown to be
particularly useful for a range of natural science and social
science applications, including studies relating to urban
development, demography, sociology, fishing activity, light
pollution and the consequences of civil war. Key sensors for these
time-series include the Defense Meteorological Satellite Program's
Operational Linescan System (DMSP/OLS) and the Suomi National
Polar-orbiting Partnership Satellite's Visible Infrared Imaging
Radiometer Suite Day/Night Band (Suomi NPP/VIIRS DNB). An
increasing number of alternative sources are also available,
including high spatial resolution and multispectral sensors. This
book captures key methodological issues associated with
pre-processing night-time light data, documents state of the art
analysis methods, and explores a wide range of applications. Major
sections focus on NPP/VIIRS DNB processing; inter-calibration
between NPP/VIIRS and DMPS/OLS; applications associated with
socio-economic activities, applications in monitoring urbanization;
and fishing activity monitoring. The chapters in this book were
originally published as a special issue of the International
Journal of Remote Sensing.
This is the first book to introduce UUDN for 5G, including the
concept, challenges, architecture and key technologies. The new
network architecture based on "de-cellular" and "user-centric" is
proposed with three kinds of decoupling: user plane and control
plane decoupling from radio access, control and transmission
decoupling from network, local service and network service
decoupling. Key characteristics of UUDN are provided, including
four aspects: Intelligent network knows user, Moving network
follows user, Dynamic network serves user, and Secured network
protects user. Four promising technology directions are discussed
in detail, including dynamic APs grouping (DAPGing) method,
intelligent networking, advanced interference management and
user-centric security. The authors also include a UUDN solution,
illustrated with numerology and evaluation results as a practical
example. Finally, further research directions of UUDN are analyzed.
This book gives an overall introduction of UUDN for people who are
interested and just begin their study, as well as some suggestions
on further research for experts involved in academic, industrial
and standardization activities on relative fields.
Xi Li presents innovative analytical models and algorithms for the
dimensioning of the 3G UMTS Radio Access Network (RAN). The
proposed analytical models allow efficient and accurate
dimensioning for different evolutions of UMTS radio access
technologies.
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