Results 91 to 100 of about 11,320,128 (203)

Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral pansharpening aims to fuse a high-resolution panchromatic image (HR-PCI) with a low-resolution hyperspectral image (LR-HSI) to produce a high-resolution hyperspectral image (HR-HSI).
Hongcheng Jiang, Zhiqiang Chen
doaj   +1 more source

AI‐Driven Strategies for Automated Microalgae Production Systems: Enhancing Yield, Efficiency, and Commercial Viability

GCB Bioenergy, Volume 18, Issue 9, September 2026.
Microalgal bioproduct production is constrained by high cultivation costs. Integrating automated photobioreactors, real‐time pH, light and temperature control, AI‐driven automation, and electronic data logging enables smart cultivation, reduces manual intervention, improves process efficiency, and supports cost‐effective, scalable microalgal bioproduct
Angela Paul Peter, Wan Adibah Wan Mahari, Sharoen Yu Ming Lim, Abdirahman Yasin Ibrahim, Revathy Sankaran, Kalaimani Markandan, Theeba Rajasegran   +6 more
wiley   +1 more source

Multistage Nonlinear Transform Tensor Nuclear Norm for Hyperspectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image super-resolution (HSI-SR) aims to reconstruct a high-resolution hyperspectral image by fusing a low-resolution hyperspectral image with a high-resolution multispectral image.
Zhihui Tu, Yisha Gao, Susu Lv, Wenyu Hu, Jian Lu   +4 more
doaj   +1 more source

Seeing the unseen: hyperspectral imaging opens a new window into the root economics space

New Phytologist, EarlyView.
Boris Rewald
wiley   +1 more source

Smart Sensing Systems For Agricultural Plant Health Monitoring: Current State and Prospects

Advanced Sensor Research, Volume 5, Issue 8, August 2026.
Smart plant sensing technologies are critically evaluated across contact and non‐contact modalities, fabrication strategies, and diagnostic capabilities. Key deployment challenges and future research directions are identified, revealing pathways toward scalable, field‐ready systems that enable reliable, real‐time plant health monitoring and accelerate ...
Frank Efe Erukainure, Abhilash K. Chandel   +1 more
wiley   +1 more source

Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery [PDF]

, 2009
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Moussaoui, Saïd, N. Dobigeon, Coulon, Martial, Hero, Alfred O., A.O. Hero, Dobigeon, Nicolas, Tourneret, Jean-Yves, M. Coulon, Hero, Alfred, J.-Y. Tourneret, S. Moussaoui   +10 more
core   +1 more source

Implementation strategies for hyperspectral unmixing using Bayesian source separation. [PDF]

, 2010
Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd, Schmidt, Albrecht, Tréguier, Erwan, Maël Guiheneuf, Guiheneuf, Maël, Saïd Moussaoui, Erwan Treguier, Albrecht Schmidt, Nicolas Dobigeon, Dobigeon, Nicolas, Frédéric Schmidt, Schmidt, Frédéric   +11 more
core   +1 more source

Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset

Scientific Data
Abstract The global challenge of sustainable recycling demands automated, fast, and accurate material detection systems that act as a bedrock for a circular economy. Integrating front-tier technologies into advanced recycling systems democratizes access to AI-driven sustainability, and transforms waste analysis ...
Arbash, E., Afifi, A. J. M., Belahsen, Y., Fuchs, M., Ghamisi, P., Scheunders, P., Gloaguen, R.   +6 more
openaire   +6 more sources

Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data

IEEE Access, 2019
Garbage detection is important for environmental monitoring in large areas. However, the manual patrol is time-consuming and labor-intensive. This paper proposes a method for monitoring garbage distribution in large areas with airborne hyperspectral data.
Dan Zeng, Shun Zhang, Fansheng Chen, Yueming Wang   +3 more
doaj   +1 more source

Wavelet based segmentation of hyperspectral colon tissue imagery [PDF]

, 2003
Segmentation is an early stage for the automated classification of tissue cells between normal and malignant types. We present an algorithm for unsupervised segmentation of images of hyperspectral human colon tissue cells into their constituent parts by ...
Rajpoot, Nasir M. (Nasir Mahmood), Rajpoot, Kashif   +1 more
core   +1 more source