Results 41 to 50 of about 1,892,060 (143)

MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field of infrared image processing. Existing approaches frequently fail
Enyu Zhao, Yu Shi, Nianxin Qu, Yulei Wang, Hang Zhao   +4 more
doaj   +1 more source

Low-cost hyperspectral imaging with a smartphone [PDF]

, 2021
Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings.
Boone, N.A., McGonigle, A.J.S., Davies, M., Zhu, C., Stanger, L.R., Willmott, J.R., Pering, T.D., Stuart, M.B., Hobbs, M.J., Chengxi Zhu, Matthew Davies, Mary B. Stuart, Tom D. Pering, Nicholas A. Boone, Andrew J. S. McGonigle, Leigh R. Stanger, Matthew J. Hobbs, Jon R. Willmott   +17 more
core   +1 more source

Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang, Yulei Wang, Hongzhou Wang, Lifu Zhang, Enyu Zhao, Meiping Song, Chunyan Yu   +6 more
doaj   +1 more source

Phasor-based hyperspectral snapshot microscopy allows fast imaging of live, three-dimensional tissues for biomedical applications

Communications Biology, 2021
Hedde et al. demonstrate the use of ultrafast phasor-based hyperspectral snapshot microscopy for biomedical imaging. This technique can improve imaging speed by 10-100 fold and enables 3D hyperspectral imaging of live tissues without using expensive and ...
Per Niklas Hedde, Rachel Cinco, Leonel Malacrida, Andrés Kamaid, Enrico Gratton   +4 more
doaj   +1 more source

Analysis of Hyperspectral Data to Develop an Approach for Document Images

Sensors, 2023
Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications.
Zainab Zaman, Saad Bin Ahmed, Muhammad Imran Malik   +2 more
doaj   +1 more source

A Fast Snapshot Hyperspectral Image Reconstruction Method Based on Three-Dimensional Low Rank Constraint

Canadian Journal of Remote Sensing, 2021
The snapshot hyperspectral imaging is an emerging technique with numerous applications. However, the hyperspectral imaging reconstruction is often time-consuming, which is placing a limit on the development of snapshot hyperspectral imaging.
Chunsheng Wei, Qifeng Li, Xiaodong Zhang, Xiangyun Ma, Jianbin Du   +4 more
doaj   +1 more source

Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li   +5 more
doaj   +1 more source

Chromatic Dispersion Based Wide-Band, Fiber-Coupled, Tunable Light Source for Hyperspectral Imaging

IEEE Access, 2021
Hyperspectral imaging is a powerful label-free imaging technique that provides topological and spectral information at once. In this work, we have designed and characterized a hyperspectral source based on the chromatic dispersion property of off-the ...
Gargi Sharma, Sheeza Kainat Naveed, Asha Parmar, Kanwarpal Singh   +3 more
doaj   +1 more source

Editorial for Special Issue “Hyperspectral Imaging and Applications”

Remote Sensing, 2019
Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang, Meiping Song, Junping Zhang, Chao-Cheng Wu   +3 more
doaj   +1 more source

KDAD: Knowledge Distillation-Based Anomaly Detection for Thermal Infrared Hyperspectral Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks constraints on anomaly samples during the training process, leading to
Enyu Zhao, Hao Zhang, Nianxin Qu, Yulei Wang, Yongguang Zhao   +4 more
doaj   +1 more source