Image noise estimation is vital in noise removal in biomedical imaging and computer vision applications. A precise calculation of the noise standard deviation is required for the image-denoising ...

Globalstar Enters Cooperative R&D with U.S. Army to Evaluate Edge Processing through Low Probability of Intercept and Detection Systems for Covert Sensing ...

In this letter, an interferometric phase noise reduction algorithm is proposed for GNSS-based InBSAR based on adaptive edge detection and temporal area filtering. An improved edge detection algorithm ...

Most advanced methods for road surface defect detection may have the issue of large network structures, making them impractical for implementation on mobile embedded systems. In this study, A ...

Firstly, the edges in the cover image are identified using a suitable edge detection method (i.e., using the canny or sobel algorithm), and then the secret data is embedded inside the edge-detected ...

The remote sensing image change detection (RSI-CD) has witnessed significant progress. The core focus lies in accurately identifying spatiotemporal changes in remote sensing images and precisely ...

Change detection (CD) in remote sensing (RS) images serves as a vital method for identifying changes on the Earth's surface. Recent advancements in deep learning (DL)-based CD methods have shown ...

Edge AI enables edge devices to make intelligent decisions autonomously. One of its critical applications is time series anomaly detection (TSAD), which aims to identify irregular patterns in ...

Low-SWaP radar technology: AirSight’s AirGuard platform uses compact, energy-efficient systems for rapid deployment in tactical environments.