Results 91 to 100 of about 5,679 (259)

Band Selection from Hyperspectral Data for Conifer Species Identification [PDF]

, 2000
Hyperspectral data compression and dimension reducing are very important to computer processing and data transmission. A small number of bands, containing relatively large amount of spectral information, are usually sufficient to many application ...
Pu, Ruiliang, Gong, Peng, Ruiliang Pu, Peng Gong   +3 more
core   +1 more source

A Local Potential-Based Clustering Algorithm for Unsupervised Hyperspectral Band Selection

IEEE Access, 2019
Unsupervised band selection plays an increasingly important role in a hyperspectral image (HSI) classification because of inadequate labeling samples.
Zhaokui Li, Lin Huang, Jinrong He, Cuiwei Liu, Xiangbin Shi, Deyuan Zhang   +5 more
doaj   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

An Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor

Remote Sensing, 2019
A hyperspectral image (HSI) has many bands, which leads to high correlation between adjacent bands, so it is necessary to find representative subsets before further analysis.
Qiang Li, Qi Wang, Xuelong Li
doaj   +1 more source

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Convolutional-Neural-Network-Based Onboard Band Selection for Hyperspectral Data With Coarse Band-to-Band Alignment

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Band selection is a key strategy to address the challenges of managing large hyperspectral datasets and reduce the dimensionality problem associated with the simultaneous analysis of hundreds of spectral bands.
David Llaveria Godoy, Nicolas Longepe, Gabriele Meoni, Roberto del Prete, Adriano Camps   +4 more
doaj   +1 more source

Recent advances and prospects for high‐efficiency blue hot exciton organic light‐emitting diodes

FlexMat, EarlyView.
Blue organic light‐emitting diodes (OLEDs) face great challenges in achieving the balance between color purity, device efficiency, and stability. Hot exciton materials offer a solution by rapidly converting non‐emissive triplet excitons into singlet ones through a high‐lying reverse intersystem crossing process.
Xiaoen Shi, Shuyuan Ge, Futong Liu, Ping Lu   +3 more
wiley   +1 more source

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches [PDF]

, 2012
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous field view in hundreds or thousands of spectral channels with higher spectral resolution than multispectral cameras.
Paul Gader, Jocelyn Chanussot, Qian Du, Gader, Paul, Antonio Plaza, José M. Bioucas-dias, Chanussot, Jocelyn, Dobigeon, Nicolas, Plaza, Antonio, Du, Qian, Mario Parente, Bioucas-Dias, José M., Nicolas Dobigeon, Parente, Mario   +13 more
core   +1 more source

Self-Supervised Deep Multi-Level Representation Learning Fusion-Based Maximum Entropy Subspace Clustering for Hyperspectral Band Selection

Remote Sensing
As one of the most important techniques for hyperspectral image dimensionality reduction, band selection has received considerable attention, whereas self-representation subspace clustering-based band selection algorithms have received quite a lot of ...
Yulei Wang, Haipeng Ma, Yuchao Yang, Enyu Zhao, Meiping Song, Chunyan Yu   +5 more
doaj   +1 more source

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source