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 …
Real-time task scheduling and network device security for complex embedded systems based on deep learning networks
J Zhou - Microprocessors and Microsystems, 2020 - Elsevier
As a hotspot of machine learning research, deep learning is applied in many fields.
Embedded systems are becoming more and more complex and networked, so the real-time …
Embedded systems are becoming more and more complex and networked, so the real-time …
High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee …
The High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working
Group (WG) was recently established under the IEEE Geoscience and Remote Sensing …
Group (WG) was recently established under the IEEE Geoscience and Remote Sensing …
Dual-mode FPGA implementation of target and anomaly detection algorithms for real-time hyperspectral imaging
Target and anomaly detection are important techniques for remotely sensed hyperspectral
data interpretation. Due to the high dimensionality of hyperspectral data and the large …
data interpretation. Due to the high dimensionality of hyperspectral data and the large …
Hardware-Optimized Architecture of On-board Registration for Remote-Sensing Images——Take SURF as an Example
X Du, C Yang, R Zhong, Q Li, Y Wang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
On-board processing has become an inevitable choice for the development of remote-
sensing satellites. For the satellites with dual-line array asynchronous push-broom mode …
sensing satellites. For the satellites with dual-line array asynchronous push-broom mode …
On the evaluation of different high-performance computing platforms for hyperspectral imaging: An OpenCL-based approach
Hyperspectral imaging systems are a powerful tool for obtaining surface information in many
different spectral channels that can be used in many different applications. Nevertheless, the …
different spectral channels that can be used in many different applications. Nevertheless, the …
Agile FPGA Computing at the 5G Edge: Joint Management of Accelerated and Software Functions for Open Radio Access Technologies
This paper presents ReproRun, a flexible and extensible run-time framework for the
reconfiguration of functions in field programmable gate array (FPGA) devices used in …
reconfiguration of functions in field programmable gate array (FPGA) devices used in …
A 44.3-mW 62.4-fps Hyperspectral Image Processor for Spectral Unmixing in MAV Remote Sensing
YC Lo, YC Wu, CH Yang - IEEE Journal of Solid-State Circuits, 2024 - ieeexplore.ieee.org
This article presents the first dedicated processor designed to support the complete spectral
unmixing workflow for hyperspectral image (HSI) processing, including rank reduction …
unmixing workflow for hyperspectral image (HSI) processing, including rank reduction …
FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection
Hyperspectral image contains various wavelength channels and the corresponding imagery
processing requires a computation platform with high performance. Target and anomaly …
processing requires a computation platform with high performance. Target and anomaly …