AIMC Topic: Hyperspectral Imaging

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Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Recently, cross-scene hyperspectral image classification(HSIC) via domain adaptation is drawing increasing attention. However, most existing methods either directly align the source domain and target domain without fully mining of SD information, or ...
Image Processing, Computer-Assisted Hyperspectral Imaging Semantics Neural Networks, Computer Algorithms Humans
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Dual selective fusion transformer network for hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Transformer has achieved satisfactory results in the field of hyperspectral image (HSI) classification. However, existing Transformer models face two key challenges when dealing with HSI scenes characterized by diverse land cover types and rich spect...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Hyperspectral Imaging
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Hyperspectral anomaly detection with self-supervised anomaly prior.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Hyperspectral anomaly detection (HAD) can identify and locate the targets without any known information and is widely applied in Earth observation and military fields. The majority of existing HAD methods use the low-rank representation (LRR) model t...
Neural Networks, Computer Hyperspectral Imaging Algorithms Supervised Machine Learning Humans
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Multimodal Diagnostic Approach for Osteosarcoma and Bone Callus Using Hyperspectral Imaging and Deep Learning.

Journal of biophotonics Jun 1, 2025
Distinguishing osteosarcoma from bone callus remains a clinical challenge due to their morphological similarities. This study proposes J-CAN, a multimodal deep learning framework integrating hyperspectral imaging (HSI) and H&E-stained pathology for r...
Bony Callus Deep Learning Osteosarcoma Multimodal Imaging Hyperspectral Imaging Bone Neoplasms Humans
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Hyperspectral imaging combined with DBO-SVM for the germination prediction of thermally damaged seeds.

Analytical methods : advancing methods and applications May 29, 2025
Healthy development of the maize seed industry plays a key role in the effective supply of agricultural products and ensures national food security. Thermal damage to seeds significantly affects crop yield, seed vitality and nutritional value, making...
Zea mays Hyperspectral Imaging Seeds Germination Hot Temperature Algorithms Support Vector Machine
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Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm.

Molecules (Basel, Switzerland) May 15, 2025
In order to improve the utilization efficiency of corn seeds and meet the demand of single-seed seeding technology in agriculture, this study was conducted to explore the effect of freezing damage detection on the endosperm and embryo sides of single...
Image Processing, Computer-Assisted Support Vector Machine Algorithms Hyperspectral Imaging Seeds Freezing Zea mays Endosperm
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Identification of sorghum variety using hyperspectral technology with squeeze-and-excitation convolutional neural network algorithms.

Analytical methods : advancing methods and applications May 9, 2025
In this study, hyperspectral technology along with a combination of squeeze-and-excitation convolutional neural networks and competitive adaptive reweighted sampling (CARS-SECNNet) was developed to identify sorghum varieties. In addition, the support...
Hyperspectral Imaging Sorghum Wavelet Analysis Convolutional Neural Networks Support Vector Machine Neural Networks, Computer Algorithms
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Detection of flap malperfusion after microsurgical tissue reconstruction using hyperspectral imaging and machine learning.

Scientific reports May 5, 2025
Hyperspectral imaging (HSI) has shown significant diagnostic potential for both intra- and postoperative perfusion assessment. The purpose of this study was to combine machine learning and neural networks with HSI to develop a method for detecting fl...
Hyperspectral Imaging Surgical Flaps Microsurgery Plastic Surgery Procedures Female Free Tissue Flaps Machine Learning Aged Humans Neural Networks, Computer Algorithms Adult Male Middle Aged
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Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments.

The plant genome Mar 1, 2025
Integrating genomic, hyperspectral imaging (HSI), and environmental data enhances wheat yield predictions, with HSI providing detailed spectral insights for predicting complex grain yield (GY) traits. Incorporating HSI data with single nucleotide pol...
Polymorphism, Single Nucleotide Machine Learning Heat-Shock Response Genomics Remote Sensing Technology Triticum Hyperspectral Imaging
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Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification.

PloS one Jan 1, 2025
Deep learning has revolutionized the classification of land cover objects in hyperspectral images (HSIs), particularly by managing the complex 3D cube structure inherent in HSI data. Despite these advances, challenges such as data redundancy, computa...
Algorithms Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Hyperspectral Imaging Image Processing, Computer-Assisted Principal Component Analysis
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