Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...

Abstract: Hyperspectral imaging (HSI) is essential across various disciplines for its capacity to capture rich spectral information. However, efficiently reconstructing hyperspectral images from ...

Once again, people are taking Grok at its word, treating the chatbot as a company spokesperson without questioning what it says. On Friday morning, many outlets reported that X had blocked universal ...

Unified hyperspectral image (HSI) restoration aims to recover various degraded HSIs using a single model, offering great practical value. However, existing methods often depend on explicit degradation ...

1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...

Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...

A group of European and Asian researchers has developed a globally adaptable system to measure and monitor agricultural land use intensity (A-LUI) using remote sensing (RS) and trait-based ecological ...

Wan 2.2, Qwen Image, FLUX, FLUX Krea, all these models are the SOTA open-source models and in this master tutorial I will show you how to use these models in the easiest, most performant, and most ...

ABSTRACT: The environmental impacts caused by frequent oil spills along the Congolese coast pose a significant concern. The main objective of this work is to study the dynamics of coastal pollution ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...