HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing by Qianru Liu, Tiecheng Song, Anyong Qin, Yin Liu, Feng Yang, Chenqiang Gao

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Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

Subjects: “…Hyperspectral image (HSI)…”
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The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings by Esther Kok, Aneesh Chauhan, Michele Tufano, Edith Feskens, Guido Camps

Subjects: “…hyperspectral imaging…”
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Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

Subjects: “…hyperspectral images…”
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A Study on the Classification of Atopic Dermatitis by Spectral Features of Hyperspectral Imaging by Eun Bin Kim, Yoo Sang Baek, Onseok Lee

Subjects: “…Hyperspectral imaging…”
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Lightweight Spatial–Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification by Yi Liu, Yanjun Zhang, Yu Guo, Yunchao Li

Subjects: “…Hyperspectral images (HSI)…”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

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Evaluating Normalization Methods for Robust Spectral Performance Assessments of Hyperspectral Imaging Cameras by Siavash Mazdeyasna, Mohammed Shahriar Arefin, Andrew Fales, Silas J. Leavesley, T. Joshua Pfefer, Quanzeng Wang

Subjects: “…medical hyperspectral imaging…”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

Subjects: “…hyperspectral images…”
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Hyperspectral Image Classification Based on Attentional Residual Networks by Ning Wang, Xin Pan, Xiaoling Luo, Xiaojing Gao

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Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning by Taojing Ran, Wei Huang, Xianzheng Qin, Xingran Xie, Yingjiao Deng, Yundi Pan, Yao Zhang, Ling Zhang, Lili Gao, Minmin Zhang, Dong Wang, Yan Wang, Qingli Li, Chunhua Zhou, Duowu Zou

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Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

Subjects: “…ground hyperspectral imaging…”
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Application of bilateral fusion model based on CNN in hyperspectral image classification by Hongmin GAO, Xueying CAO, Yao YANG, Zaijun HUA, Chenming LI

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Milk adulteration identification using hyperspectral imaging and machine learning by Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

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Using Hyperspectral Imaging and Principal Component Analysis to Detect and Monitor Water Stress in Ornamental Plants by Van Patiluna, James Owen, Joe Mari Maja, Jyoti Neupane, Jan Behmann, David Bohnenkamp, Irene Borra-Serrano, José M. Peña, James Robbins, Ana de Castro

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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

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Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection by Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang

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ReluformerN: Lightweight High-Low Frequency Enhanced for Hyperspectral Agricultural Lancover Classification by LIU Yi, ZHANG Yanjun

Subjects: “…hyperspectral images…”
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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

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Search of Reflectance Indices for Estimating Photosynthetic Activity of Wheat Plants Under Drought Stress by Firuz Abdullaev, Daria Churikova, Polina Pirogova, Maxim Lysov, Vladimir Vodeneev, Oksana Sherstneva

Subjects: “…hyperspectral imaging…”
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