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 …
Two-orientations Finite Markov Real-Time Local Anomaly Detection via Pixel-by-Pixel Processing for Hyperspectral Imagery
S Liu, M Song - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
Real-time local anomaly detection needs to be performed simultaneously with hyperspectral
image acquisition. However, the discussion on the scope of using existing data, mainly …
image acquisition. However, the discussion on the scope of using existing data, mainly …
Accelerating Hyperspectral Anomaly Detection with Enhanced Multivariate Gaussianization based on FPGA
K Yu, Z Wu, J Sun, Y Zhang, Y Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Hyperspectral anomaly detection (AD), as a frontier research topic in the field of remotely
sensed data processing, aims to identify targets of interest from complex and vast images …
sensed data processing, aims to identify targets of interest from complex and vast images …
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning
Detecting unexpected objects (anomalies) in real time has great potential for monitoring,
managing, and protecting the environment. Hyperspectral line-scan cameras are a low-cost …
managing, and protecting the environment. Hyperspectral line-scan cameras are a low-cost …
Edge-Based Real-Time Sensor Data Processing for Anomaly Detection in Industrial IoT Applications
YD Deshpande, SR Rahman - Research Journal of Computer …, 2023 - technicaljournals.org
Abstract The Industrial Internet of Things (IIoT), which uses devices with sensors to provide
real-time insights into crucial processes, has completely changed how industries function …
real-time insights into crucial processes, has completely changed how industries function …
Distributed Hyperspectral Image Analysis Based on Cloud Computing Architectures
VAA Quirita - 2022 - search.proquest.com
In this thesis, we introduce a novel distributed version of the N-FINDR endmember extraction
algorithm, which is able to exploit computer cluster resources in order to efficiently process …
algorithm, which is able to exploit computer cluster resources in order to efficiently process …
[引用][C] Distributed Hyperspectral Image Analysis based on Cloud Computing Architectures
VA Ayma Quirita - Pontificia Universidad Católica del …