Article
Environmental Sciences
Yanling Han, Xi Shi, Shuhu Yang, Yun Zhang, Zhonghua Hong, Ruyan Zhou
Summary: This paper proposes a hyperspectral sea ice image classification method involving spectral-spatial-joint features based on the principal component analysis network. The method extracts textural and spatial information about sea ice, optimizes band combinations, and deeply extracts information hidden in sea ice images to achieve better classification results.
Article
Food Science & Technology
Christopher T. Kucha, Li Liu, Michael Ngadi, Claude Gariepy
Summary: This study investigated the use of hyperspectral imaging to predict the quality of IMF in pork loin cuts. By extracting texture features from hyperspectral images and using the partial least-squares regression algorithm, the study found that these features could be used to develop a rapid tool for assessment of IMF quality in pork. The results showed promising coefficients of determination and low root mean square errors, indicating the potential for using hyperspectral imaging as a new and effective tool for assessing meat quality.
FOOD ENGINEERING REVIEWS
(2021)
Article
Geochemistry & Geophysics
Xiaojun Yang, Mingjun Zhu, Bo Sun, Zheng Wang, Feiping Nie
Summary: Currently, unsupervised hyperspectral image segmentation methods face challenges due to noise and anomalies in the data. To address this, this letter proposes a method called fuzzy C-multiple-means (FCMM), which divides data points into multiple subclusters and defines c clusters. Unlike traditional clustering algorithms, FCMM uses an optimization problem for the fuzzy affiliation matrix and an alternating iterative update method to enhance robustness and reduce the effect of outliers in the datasets. Experiments on several HSI datasets validate the effectiveness of FCMM.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Geochemistry & Geophysics
Anurag Goel, Angshul Majumdar
Summary: In clustering-based hyperspectral band selection techniques, images of each hand are used as input samples, and feature extraction is performed before applying the clustering algorithm. This study proposes a framework that combines representation learning and clustering, solving the problem using the alternating direction method of multipliers (ADMM). The results show that the proposed method improves the state of the art in hyperspectral band selection.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Information Systems
Ihtisham Ul Haq, Mehran Ahmed, Muhammad Assam, Yazeed Yasin Ghadi, Abdulmohsen Algarni
Summary: Oral cancer is a significant global health threat, and timely detection is crucial for successful treatment. This research explores the potential of artificial intelligence in diagnosing oral cancer, achieving high accuracy and efficiency.
Article
Computer Science, Artificial Intelligence
Rabah Hammouche, Abdelouahab Attia, Samir Akhrouf, Zahid Akhtar
Summary: This paper proposes an efficient face recognition system based on Gabor filter bank and Sparse AutoEncoder (SAE) deep learning method. By improving feature extraction and reduction techniques, the proposed system achieves promising results on multiple databases and outperforms previous methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Geochemistry & Geophysics
Shuyu Zhang, Dingding Tang, Nanying Li, Xiuping Jia, Sen Jia
Summary: This article proposes a superpixel-guided variable 3-D Gabor phase coding fusion (Su VGF) framework for HSI classification with limited training samples. The framework utilizes variable 3-D Gabor filters to extract multidirectional features, and employs local Gabor phase ternary pattern encoding and scale map optimization to improve classification accuracy.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Frimpong Twum, Yaw Marfo Missah, Stephen Opoku Oppong, Najim Ussiph
Summary: Texture plays a crucial role in computer vision, and the Log Gabor filter is used to extract the texture features of medicinal plant leaves. The Log Gabor filter outperforms the Gabor filter in terms of classifier performance.
Article
Geochemistry & Geophysics
Bing Zhang, Yashinov Aziz, Zhicheng Wang, Lina Zhuang, Michael K. Ng, Lianru Gao
Summary: The proposed GF-destriping algorithm efficiently detects and removes stripes in hyperspectral images using Gabor filters and FastHyIn inpainting method, outperforming state-of-the-art destriping algorithms in numerical experiments on simulated and real data sets.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Automation & Control Systems
Ke-Kun Huang, Chuan-Xian Ren, Hui Liu, Zhao-Rong Lai, Yu-Feng Yu, Dao-Qing Dai
Summary: In this study, the authors propose a Gabor ensemble filter (GEF) for HSI classification, which can extract common and complementary features efficiently with a designed network architecture for fast and accurate results.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Artificial Intelligence
Peng Zhou, Liang Du, Xuejun Li
Summary: This paper proposes a method to improve the performance of consensus clustering by refining the base results and optimizing the ensemble process. The proposed method outperforms both single clustering and state-of-the-art consensus clustering methods.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li
Summary: This article introduces a novel scalable nonlocal means regularized sketched reweighted sparse and low-rank (NL-SSLR) SC algorithm for large HSIs, which explores both local and global structural information of HSIs and fully utilizes spatial correlation information to enhance clustering performance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Spectroscopy
M. Gonzalez-Cabrera, A. Dominguez-Vidal, M. J. Ayora-Canada
Summary: The potential of infrared hyperspectral microimages in investigating the alteration of organic binders in pictorial layers after artificial UV light ageing was explored. Different binders and pigments were analyzed, revealing significant trends and spectral features related to UV-induced ageing. The use of FTIR micro-images and PCA provided valuable insights into the complex and heterogeneous structure of paintings.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Computer Science, Artificial Intelligence
Shuangli Du, Yiguang Liu, Mao Ye, Minghua Zhao, Zheng Li
Summary: This paper proposes a two-stage system that combines Gabor filter and low-rank model to remove rain streaks from single images. By combining texture constraint and global cost function, the algorithm's performance and efficiency are improved.
Article
Computer Science, Artificial Intelligence
Jingwei Chen, Jianyong Zhu, Hongyun Jiang, Hui Yang, Feiping Nie
Summary: This article proposes a clustering method called P_SFCM that combines principal component analysis and membership learning to improve the robustness of noise. Experimental results show that P_SFCM is competitive with other methods.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)