Results 71 to 80 of about 98,568 (293)

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Land-cover classification is an important topic for remotely sensed hyperspectral (HS) data exploitation. In this regard, HS classifiers have to face important challenges, such as the high spectral redundancy, as well as noise, present in the data, and ...
Mercedes E. Paoletti, Oscar Mogollon-Gutierrez, Sergio Moreno-Alvarez, Jose Carlos Sancho, Juan M. Haut   +4 more
doaj   +1 more source

A Preclinical Multifunctional Capsule Robot with Unified Diagnosis and Targeted Thermal Therapy for Gastrointestinal Diseases

Advanced Science, EarlyView.
A proof‐of‐concept multifunctional capsule robot integrates diagnostic imaging, magnetic navigation, wireless power transfer, and targeted thermotherapy for gastrointestinal applications. Magnetically guided positioning and stable wireless power enable localized thermal ablation, achieving controlled heating and high cell mortality in vitro.
Heng Zhang, Yichong Sun, Xiaoting Zhang, Chi‐Kwan Lee, Zheng Li, Yehui Li, Huarong Chen, Paul D. Mitcheson   +7 more
wiley   +1 more source

Development of a 3-Axis Gimbal for Drones to Improve Hyperspectral Imaging Quality of Large-Scale Natural Heritage [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study presents the design, fabrication, and performance validation of a precision 3-axis gimbal system for drone-mounted applications. Traditional fixed bracket systems have faced challenges in maintaining stable imaging angles and mitigating ...
J. S. Lee, S.-J. Yoo, D.-Y. Song, K.-H. Choi, J.-Y. Lee, C.-S. Kim   +5 more
doaj   +1 more source

Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification

IEEE Access, 2020
Detection of surface material based on hyperspectral imaging (HSI) analysis is an important and challenging task in remote sensing. It is widely known that spectral-spatial data exploitation performs better than traditional spectral pixel-wise procedures.
Mercedes E. Paoletti, Juan M. Haut, Swalpa Kumar Roy, Eligius M. T. Hendrix   +3 more
doaj   +1 more source

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

Advanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri, A. Mangiarotti, C. N. Z. Schmitt, R. Dimova   +3 more
wiley   +1 more source

Passive Color Imaging Through Macroscopic Strong Scattering Media

Advanced Science, EarlyView.
Light reflected from distant targets is severely attenuated and scattered by dense fog. A color‐channel‐simulated, independently exposed sCMOS array (CISA), combined with a passive colorful de‐scattering pipeline (PCDP), captures and reconstructs extremely weak target signals.
Renrui Wang, Xiaoyu Wang, Jianyu Wang, Zhiyu Yang, Xiangyang Ji   +4 more
wiley   +1 more source

Hyperspectral Adapter for Object Tracking based on Hyperspectral Video

CoRR
Object tracking based on hyperspectral video attracts increasing attention to the rich material and motion information in the hyperspectral videos. The prevailing hyperspectral methods adapt pretrained RGB-based object tracking networks for hyperspectral tasks by fine-tuning the entire network on hyperspectral datasets, which achieves impressive ...
Long Gao, Yunhe Zhang, Langkun Chen, Yan Jiang, Weiying Xie, Yunsong Li 0001   +5 more
openaire   +3 more sources

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

A Spatial-Temporal Attention-Based U-Net for Crop Mapping from Time-Series Sentinel-2 Imagery: A Case in Sanjiang Plain

Remote Sensing
Food security is a growing global concern, and accurate crop mapping in major grain-producing regions like China’s Sanjiang Plain—which contributes approximately 7% of national grain output—is essential for agricultural resource management. However, crop
Enyu Zhao, Wei Zhang, Yulei Wang, Hao Zhang, Hang Zhao   +4 more
doaj   +1 more source

Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery [PDF]

, 2011
This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise.
Altmann, Yoann, Altmann, Yoann; id_orcid, Halimi, Abderrahim; id_orcid, Jean-Yves Tourneret, Halimi, Abderrahim, Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +9 more
core   +1 more source