Hyperspectral sensor adaptability in precision agriculture to digital images is still at its
nascent stage. Hyperspectral imaging (HSI) is data rich in solving agricultural problems like …

Hash functions are an essential mechanism in today's world of information security. It is
common practice to utilize them for storing and verifying passwords, developing pseudo …

At present, the raw echo data captured by spaceborne synthetic aperture radar is usually
downlinked to the ground stations for imaging and analysis. If the SAR data can be …

Optical remote sensing instruments accumulate abundant data from across all of the earth's
land surfaces, making it possible both to understand the effects of climate change and to …

Hyperspectral imagery (HSI) is widely used in remote sensing for target classification;
however, its accurate classification remains challenging due to the scarcity of labeled data …

This paper proposes a parallel algorithm exploiting heterogeneous computing and edge
computing for anomaly detection (AD) in remotely sensed multispectral images. These …

This article presents the first dedicated processor designed to support the complete spectral
unmixing workflow for hyperspectral image (HSI) processing, including rank reduction …

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 …

The world is a vast and mysterious place, teeming with countless unknowns. Computer
vision models when deployed in real-world applications often encounter images that belong …

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 …