The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

NRL’s CHROMA experiment collected multi-platform data to improve AI-driven material detection in complex littoral environments.

Hyperspectral and multispectral image processing represents a rapidly evolving field in remote sensing, where the integration of high spectral resolution data with enhanced spatial detail provides a ...

Dr. Salvaggio is a Full Professor and Director of the Digital Imaging and Remote Sensing Laboratory teaching and conducting research in, as the name might imply, image processing, computer vision, ...

Just how much carbon is in the soil? That's a tough question to answer at large spatial scales, but understanding soil organic carbon at regional, national, or global scales could help scientists ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

If you’ve shopped for optical sorters in the last decade, “hyperspectral imaging” likely is a term you have encountered in some suppliers’ literature and on their websites. Hyperspectral imaging ...