Results 61 to 70 of about 24,881,858 (314)

Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders

Remote Sensing, 2019
This paper proposes novel autoencoders for unsupervised feature-learning from hyperspectral data. Hyperspectral data typically have many dimensions and a significant amount of variability such that many data points are required to represent the ...
Lloyd Windrim, R. Ramakrishnan, A. Melkumyan, R. Murphy, A. Chlingaryan   +4 more
semanticscholar   +1 more source

Label‐Free Myelin Fingerprinting: An Adult Human Post‐Mortem Brain Slice Platform via Coherent Anti‐Stokes Raman Spectroscopy

Advanced Science, EarlyView.
A serum‐free, air–liquid interface organotypic slice culture model preserves human post‐mortem corpus callosum tissue, successfully recovering from slicing trauma to reflect the donor's underlying disease state. Pairing label‐free Coherent anti‐Stokes Raman scattering (CARS) microscopy with k‐means clustering enables objective, high‐resolution ...
Kasra Roya‐Kouchaki, Jeroen P. Korterik, Femke Tjebbes, Geert J. Schenk, Herman L. Offerhaus, Antonio Luchicchi   +5 more
wiley   +1 more source

Remote sensing of macrophyte morphological traits: Implications for the management of shallow lakes

Journal of Limnology, 2017
Macrophytes are important elements of freshwater ecosystems, fulfilling a pivotal role in biogeochemical cycles. The synoptic capabilities provided by remote sensing make it a powerful tool for monitoring aquatic vegetation characteristics and the ...
Paolo Villa, Monica Pinardi, Viktor R. Tóth, Peter D. Hunter, Rossano Bolpagni, Mariano Bresciani   +5 more
doaj   +1 more source

JPEG2000 coding strategies for hyperspectral data [PDF]

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
In using JPEG2000 for the coding of multiple-component, or multiband, images such as hyperspectral imagery, one must consider spectral decorrelation and rate allocation between image components, issues that concern the design of the JPEG2000 encoder and are, consequently, outside the scope of the JPEG2000 standard.
Justin T. Rucker, James E. Fowler, Nicolas H. Younan   +2 more
openaire   +1 more source

Tensor-Based Classification Models for Hyperspectral Data Analysis [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2017
In this paper, we present tensor-based linear and nonlinear models for hyperspectral data classification and analysis. By exploiting the principles of tensor algebra, we introduce new classification architectures, the weight parameters of which satisfy ...
Konstantinos Makantasis, A. Doulamis, N. Doulamis, A. Nikitakis   +3 more
semanticscholar   +1 more source

Super‐Multiplexed Label‐Free Raman Imaging Uncovers Novel Testicular Metabolic Couplings for Residual Body and Spermatogonial Differentiation

Advanced Science, EarlyView.
Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li, Xia Chen, Yujuan Qi, Chen Qiao, Qiuru Huang, Dan Zhao, Weiyi Qian, Li Di, Yi Shi, Xiangqi Hu, Yueyue Shao, Kehan Wang, Zhiyu Tang‐Yang, Hanzhi Zang, Yuwen Du, Anran Dong, Jinxiong Feng, Jiayun Chen, Ying Zheng, Xiaofang Tan, Xiaoyu Zhao, Zhonghua Shi, Bo Zheng, Jun Yu   +23 more
wiley   +1 more source

Spectral Calibration of Hyperspectral Data Observed From a Hyperspectrometer Loaded on an Unmanned Aerial Vehicle Platform

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
Hyperspectral imaging has been widely applied in remote sensing scientific fields. For this study, hyperspectral imaging data covering the spectral region from 400 to 1000 nm were collected from an unmanned aerial vehicle visible/near-infrared imaging ...
Yaokai Liu, Tianxing Wang, Lingling Ma, Ning Wang   +3 more
doaj   +1 more source

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, Yue-ming Wang   +3 more
semanticscholar   +1 more source

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

Advanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li, Shutao Wu, Kaixiang Li, Zhenyu An, Yuwen Ben, Guiye LI, Sunil Kumar, James Mcginty, Tawfique Hasan, Songnian Fu, Meng Zhang, LingLing Chen   +11 more
wiley   +1 more source

Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints

Angewandte Chemie, EarlyView.
We demonstrate a new platform for antimicrobial peptide identification by combining polydiacetylene, hyperspectral imaging, and deep learning. The trained model classifies distinct spectral fingerprints into 14 peptide classes with 96.79% accuracy, revealing previously hidden molecular information beyond conventional colorimetric sensing.
Jiali Chen, Che‐Lun Chin, Qingzhen Zhu, Ling Chao, Kaori Sugihara   +4 more
wiley   +2 more sources