Big data for remote sensing: Challenges and opportunities
Every day a large number of Earth observation (EO) spaceborne and airborne sensors from
many different countries provide a massive amount of remotely sensed data. Those data are …
many different countries provide a massive amount of remotely sensed data. Those data are …
Agricultural remote sensing big data: Management and applications
Y Huang, Z Chen, YU Tao, X Huang, X Gu - Journal of Integrative …, 2018 - Elsevier
Big data with its vast volume and complexity is increasingly concerned, developed and used
for all professions and trades. Remote sensing, as one of the sources for big data, is …
for all professions and trades. Remote sensing, as one of the sources for big data, is …
Urban planning and building smart cities based on the internet of things using big data analytics
The rapid growth in the population density in urban cities demands that services and an
infrastructure be provided to meet the needs of city inhabitants. Thus, there has been an …
infrastructure be provided to meet the needs of city inhabitants. Thus, there has been an …
Exploiting IoT and big data analytics: Defining smart digital city using real-time urban data
Integration of all smart systems (such as smart home, smart parking, etc.) and the IoT
devices (such as sensors, actuators, and smartphones) in the city can play a vital role to …
devices (such as sensors, actuators, and smartphones) in the city can play a vital role to …
Big data meet cyber-physical systems: A panoramic survey
The world is witnessing an unprecedented growth of cyber-physical systems (CPS), which
are foreseen to revolutionize our world via creating new services and applications in a …
are foreseen to revolutionize our world via creating new services and applications in a …
Integrating sensing, computing, and communication in 6G wireless networks: Design and optimization
The roll-out of various emerging wireless services has triggered the need for the sixth-
generation (6G) wireless networks to provide functions of target sensing, intelligent …
generation (6G) wireless networks to provide functions of target sensing, intelligent …
RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
Developments in remote sensing technology have led to a continuous increase in the
volume of remote-sensing data, which can be qualified as big remote sensing data. A wide …
volume of remote-sensing data, which can be qualified as big remote sensing data. A wide …
Toward fast and accurate vehicle detection in aerial images using coupled region-based convolutional neural networks
Z Deng, H Sun, S Zhou, J Zhao… - IEEE Journal of Selected …, 2017 - ieeexplore.ieee.org
Vehicle detection in aerial images, being an interesting but challenging problem, plays an
important role for a wide range of applications. Traditional methods are based on sliding …
important role for a wide range of applications. Traditional methods are based on sliding …
Remote sensing of river corridors: A review of current trends and future directions
River corridors play a crucial environmental, economic, and societal role yet also represent
one of the world's most dangerous natural hazards, making monitoring imperative to …
one of the world's most dangerous natural hazards, making monitoring imperative to …
Recent developments in parallel and distributed computing for remotely sensed big data processing
This article gives a survey of state-of-the-art methods for processing remotely sensed big
data and thoroughly investigates existing parallel implementations on diverse popular high …
data and thoroughly investigates existing parallel implementations on diverse popular high …