Results 11 to 20 of about 9,951,257 (239)

Improved Land Cover Classification of VHR Optical Remote Sensing Imagery Based Upon Detail Injection Procedure

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Development of very-high-resolution (VHR) remote sensing imaging platforms have resulted in a requirement for developing refined land cover classification maps for various applications.
Qianbo Sang, Yin Zhuang, Shan Dong, Guanqun Wang, He Chen, Lianlin Li   +5 more
doaj   +1 more source

Real-Time Data Processing [PDF]

, 2021
AbstractTo remain competitive, organizations are increasingly taking advantage of the high volumes of data produced in real time for actionable insights and operational decision-making. In this chapter, we present basic concepts in real-time analytics, their importance in today’s organizations, and their applicability to the bioeconomy domains ...
Fabiana Fournier, Inna Skarbovsky
openaire   +1 more source

SRARNet: A Unified Framework for Joint Superresolution and Aircraft Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Aircraft recognition in high-resolution remote sensing images has rapidly progressed with the advance of convolutional neural networks (CNNs). However, the previous CNN-based methods may not work well for recognizing aircraft in low-resolution remote ...
Wei Tang, Chenwei Deng, Yuqi Han, Yun Huang, Baojun Zhao   +4 more
doaj   +1 more source

A real time process logic [PDF]

, 2005
Systems can be described at various levels of abstraction: automata, processes and behavior. In this paper, we take the ready trace set as a description of the behavior of a process and we present a ready trace model of real time process algebra. We argue that, especially in the real time case, properties of ready trace sets are best formulated in a ...
Baeten, J.C.M., Bergstra, J.A., Bol, R.N.   +2 more
openaire   +6 more sources

A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing

Nature Electronics, 2022
Reservoir computing offers a powerful neuromorphic computing architecture for spatiotemporal signal processing. To boost the power efficiency of the hardware implementations of reservoir computing systems, analogue devices and components—including ...
Yanan Zhong, Jianshi Tang, Xinyi Li, Xiangpeng Liang, Zhengwu Liu, Yijun Li, Yue Xi, P. Yao, Zhenqi Hao, B. Gao, H. Qian, Huaqiang Wu   +11 more
semanticscholar   +1 more source

A Spaceborne Synthetic Aperture Radar Partial Fixed-Point Imaging System Using a Field- Programmable Gate Array−Application-Specific Integrated Circuit Hybrid Heterogeneous Parallel Acceleration Technique

Sensors, 2017
With the development of satellite load technology and very large scale integrated (VLSI) circuit technology, onboard real-time synthetic aperture radar (SAR) imaging systems have become a solution for allowing rapid response to disasters.
Chen Yang, Bingyi Li, Liang Chen, Chunpeng Wei, Yizhuang Xie, He Chen, Wenyue Yu   +6 more
doaj   +1 more source

Advancements in Spaceborne Synthetic Aperture Radar Imaging with System-on-Chip Architecture and System Fault-Tolerant Technology

Remote Sensing, 2023
With the continuous development of satellite payload and system-on-chip (SoC) technology, spaceborne real-time synthetic aperture radar (SAR) imaging systems play a crucial role in various defense and civilian domains, including Earth remote sensing ...
Yu Xie, Yizhuang Xie, Bingyi Li, He Chen
doaj   +1 more source

Dynamic partial reconfiguration scheme for fault-tolerant FFT processor based on FPGA

The Journal of Engineering, 2019
The fast Fourier transform FFT processor is an important part of the space real-time signal processing system based on field programmable gate array (FPGA).
Xin Wei, Yi Z Xie, Yu Xie, He Chen
doaj   +1 more source

Algorithm–Hardware Co-Optimization and Deployment Method for Field-Programmable Gate-Array-Based Convolutional Neural Network Remote Sensing Image Processing

Remote Sensing, 2023
In recent years, convolutional neural networks (CNNs) have gained widespread adoption in remote sensing image processing. Deploying CNN-based algorithms on satellite edge devices can alleviate the strain on data downlinks. However, CNN algorithms present
Shuo Ni, Xin Wei, Ning Zhang, He Chen
doaj   +1 more source

Multi-Temporal SamplePair Generation for Building Change Detection Promotion in Optical Remote Sensing Domain Based on Generative Adversarial Network

Remote Sensing, 2023
Change detection is a critical task in remote sensing Earth observation for identifying changes in the Earth’s surface in multi-temporal image pairs. However, due to the time-consuming nature of image collection, labor-intensive pixel-level labeling with
Yute Li, He Chen, Shan Dong, Yin Zhuang, Lianlin Li   +4 more
doaj   +1 more source