Results 11 to 20 of about 6,715,396 (288)

SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]

Earth System Science Data, 2022
The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang, Q. Yuan, T. Jin, M. Song, F. Sun   +4 more
doaj   +1 more source

Hyperspectral Imaging for Clinical Applications

BioChip Journal, 2022
Measuring morphological and biochemical features of tissue is crucial for disease diagnosis and surgical guidance, providing clinically significant information related to pathophysiology.
Jonghee Yoon
semanticscholar   +1 more source

High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios

Italian National Conference on Sensors, 2022
High-resolution hyperspectral imaging is becoming indispensable, enabling the precise detection of spectral variations across complex, spatially intricate targets.
M. B. Stuart, M. Davies, M. Hobbs, T. Pering, A. McGonigle, J. Willmott   +5 more
semanticscholar   +1 more source

Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction Based on Density Peak Clustering

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Target extraction can provide a prior knowledge for spectral unmixing, unsupervised hyperspectral image classification, and unsupervised target detection tasks, which is of great practice.
Xiaodi Shang, Tingting Yang, Sichao Han, Meiping Song, Bai Xue   +4 more
doaj   +1 more source

Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery

IET Image Processing, 2022
Although hyperspectral data, especially spaceborne images, are rich in spectral information, their spatial resolution is usually low due to the limitation of sensor design and other factors.
Haoyang Yu, Jinxue Chi, Xiaodi Shang, Xueji Shen, Jocelyn Chanussot, Yimin Shi   +5 more
doaj   +1 more source

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

Italian National Conference on Sensors, 2021
Early detection of grapevine viral diseases is critical for early interventions in order to prevent the disease from spreading to the entire vineyard.
Canh Nguyen, V. Sagan, M. Maimaitiyiming, M. Maimaitijiang, S. Bhadra, M. Kwasniewski   +5 more
semanticscholar   +1 more source

A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial–Spectral Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Convolutional neural networks (CNN) have led to a successful breakthrough for hyperspectral image classification (HSIC). Due to the intrinsic spatial-spectral specificities of a hyperspectral cube, feature extraction with 3-D convolution operation is a ...
Chunyan Yu, Rui Han, Meiping Song, Caiyu Liu, Chein-I Chang   +4 more
doaj   +1 more source

Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”

Remote Sensing, 2022
Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data.
Chein-I Chang, Meiping Song, Chunyan Yu, Yulei Wang, Haoyang Yu, Jiaojiao Li, Lin Wang, Hsiao-Chi Li, Xiaorun Li   +8 more
doaj   +1 more source

Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

Frontiers in Nutrition, 2021
Food quality and safety are strongly related to human health. Food quality varies with variety and geographical origin, and food fraud is becoming a threat to domestic and global markets. Visible/infrared spectroscopy and hyperspectral imaging techniques,
Lei Feng, Baohua Wu, Susu Zhu, Yong He, Chu Zhang   +4 more
semanticscholar   +1 more source

Extended Subspace Projection Upon Sample Augmentation Based on Global Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Band redundancy and limitation of labeled samples restrict the development of hyperspectral image classification (HSIC) greatly. To address the earlier issues, the classification models such as subspace-based support vector machines, which have gained a ...
Jiaochan Hu, Xueji Shen, Haoyang Yu, Xiaodi Shang, Qiandong Guo, Bing Zhang   +5 more
doaj   +1 more source