Advances in machine learning and hyperspectral imaging in the food supply chain
Z Kang, Y Zhao, L Chen, Y Guo, Q Mu… - Food Engineering …, 2022 - Springer
Food quality and safety are the essential hot issues of social concern. In recent years, there
has been a growing demand for real-time food information, and non-destructive testing is …
has been a growing demand for real-time food information, and non-destructive testing is …
Hyperspectral image classification—Traditional to deep models: A survey for future prospects
Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications
because it benefits from the detailed spectral information contained in each pixel. Notably …
because it benefits from the detailed spectral information contained in each pixel. Notably …
Conventional to deep ensemble methods for hyperspectral image classification: A comprehensive survey
Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral
imaging (HSI) has been widely used in a wide range of real-world application areas due to …
imaging (HSI) has been widely used in a wide range of real-world application areas due to …
Spatial spectral transformer with conditional position encoding for hyperspectral image classification
In Transformer-based hyperspectral image classification (HSIC), predefined positional
encodings (PEs) are crucial for capturing the order of each input token. However, their …
encodings (PEs) are crucial for capturing the order of each input token. However, their …
A disjoint samples-based 3D-CNN with active transfer learning for hyperspectral image classification
Convolutional neural networks (CNNs) have been extensively studied for hyperspectral
image classification (HSIC). However, CNNs are critically attributed to a large number of …
image classification (HSIC). However, CNNs are critically attributed to a large number of …
Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review
U Aline, T Bhattacharya, MA Faqeerzada… - Frontiers in Plant …, 2023 - frontiersin.org
The quality of tropical fruits and vegetables and the expanding global interest in eating
healthy foods have resulted in the continual development of reliable, quick, and cost …
healthy foods have resulted in the continual development of reliable, quick, and cost …
Portable and low-cost hologram verification module using a snapshot-based hyperspectral imaging algorithm
One of the challenges in differentiating a duplicate hologram from an original one is
reflectivity. A slight change in lighting condition will completely change the reflection pattern …
reflectivity. A slight change in lighting condition will completely change the reflection pattern …
Determination of adulteration in wheat flour using multi-grained cascade forest-related models coupled with the fusion information of hyperspectral imaging
L Zheng, Q Bao, S Weng, J Tao, D Zhang… - … Acta Part A: Molecular …, 2022 - Elsevier
Wheat flour (WF) is a common ingredient in staple foods. However, the presence of
intentional or unintentional adulterants makes it difficult to guarantee WF quality. Multi …
intentional or unintentional adulterants makes it difficult to guarantee WF quality. Multi …
Fusing transformers in a tuning fork structure for hyperspectral image classification across disjoint samples
The 3-D swin transformer (3DST) and spatial–spectral transformer (SST) each excel in
capturing distinct aspects of image information: the 3DST with hierarchical attention and …
capturing distinct aspects of image information: the 3DST with hierarchical attention and …
Hybrid fully connected tensorized compression network for hyperspectral image classification
Deep learning models, such as convolutional neural networks (CNNs), have made
significant progress in hyperspectral image (HSI) classification. However, these models …
significant progress in hyperspectral image (HSI) classification. However, these models …