Results 51 to 60 of about 2,924,189 (218)

UC Food Waste: A Multimodal Robotic Perception Dataset for Robust Contaminant Detection in Complex Biowaste Scenes

Advanced Robotics Research, EarlyView.
A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal, James Ireland, David Hinwood, Xing Wang, Min Wang, Damith Herath   +5 more
wiley   +1 more source

A Recurrent Feedback Hyperspectral Image Super-Resolution Reconstruction Method by Using Self-Attention-Based Pixel Awareness

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral images (HSIs) contain abundant spectral information, while the spatial resolution is usually limited. To obtain high-spatial-resolution HSIs, various HSI super-resolution (SR) methods are proposed.
Ruyi Feng, Zhongyu Guo, Xiaofeng Wang
doaj   +1 more source

Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding

Advanced Science, EarlyView.
Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen, Junren Wen, Hao Sha, Chenying Yang, Ziyang Chen, Xiaochen Feng, Taiqin Chen, Wenzhen Zou, Xiangyu Chen, Xiangyang Ji, Guojun Liu, Yongbing Zhang   +11 more
wiley   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

Advanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu, Le Liu, Mengli Yu, Yuling Guo, Junli Ye, Jun Zhang, Rumeng Zhao, Jiajie Yang, Wanneng Yang, Yameng Xu, Liqiang Fan, Zuoren Yang   +11 more
wiley   +1 more source

Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation

International Journal of Applied Earth Observations and Geoinformation, 2021
High spatial resolution hyperspectral images (HR-HSIs) have shown considerable potential in urban green infrastructure monitoring. A prevalent scheme to overcome spatial resolution limitations in HSIs is by fusing low-resolution hyperspectral images (LR ...
Nan Chen, Lichun Sui, Biao Zhang, Hongjie He, Kyle Gao, Yandong Li, José Marcato Junior, Jonathan Li   +7 more
doaj   +1 more source

Hyperspectral Image Study based on Deep Learning Model HSI-ConvNext

Transactions on Computer Science and Intelligent Systems Research, 2023
In recent years, deep learning techniques have made significant research progress in the field of hyperspectral image processing. Hyperspectral images are widely used in agriculture, environmental monitoring, geological exploration and other fields due to their richness in material and spectral information about objects.
Zhonghui Bian, Xuying Zhao, Qian Wang, Zhibo Xing   +3 more
openaire   +1 more source

Responses of primary producers, anoxia, and chemical feedback to Late Glacial climate change: Insights from a paired lake approach

Journal of Quaternary Science, EarlyView.
Abstract Worldwide, lacustrine ecosystems are threatened by eutrophication and deoxygenation. Both processes are driven by the combined effects of human activities and climate change. Understanding the pre‐anthropogenic nexus between warming, eutrophication, deoxygenation, and related feedback is essential to determine how lakes respond to rapid ...
Noé R.M.M. Schmidhauser, Stan J. Schouten, Petra Zahajská, Andrea Lami, Jacqueline F.N. van Leeuwen, Rik Tjallingii, Hendrik Vogel, Martin Grosjean   +7 more
wiley   +1 more source

A Low-Rank Tensor Model for Hyperspectral Image Sparse Noise Removal

IEEE Access, 2018
Hyperspectral image (HSI) has been widely used in target detection and classification. However, various kinds of noise in HSIs affect the applications of HSIs. In this paper, we propose a low-rank (LR) tensor recovery model to remove noise.
Lizhen Deng, Hu Zhu, Yujie Li, Zhen Yang
doaj   +1 more source

Contactless in vitro detection of carboxyhemoglobin using hyperspectral imaging (HSI)

Forensic Science, Medicine and Pathology
Abstract Hyperspectral imaging (HSI) allows for the contactless analysis of the composition of substances based on the reflected light and is already used in various areas of medicine. The carboxyhemoglobin (CO-Hb) concentration in blood of suspected fire victims serves to prove vitality and the cause of death. However, this metric is usually
P. Czarkowski, C. Babian, St Lüdtke, S. Baumann, J. Dreßler   +4 more
openaire   +3 more sources

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source