Results 41 to 50 of about 2,902 (152)

Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding

Remote Sensing, 2019
Many graph embedding methods are developed for dimensionality reduction (DR) of hyperspectral image (HSI), which only use spectral features to reflect a point-to-point intrinsic relation and ignore complex spatial-spectral structure in HSI.
Hong Huang, Meili Chen, Yule Duan
doaj   +1 more source

Vision Transformer-Based Ensemble Learning for Hyperspectral Image Classification

Remote Sensing, 2023
Hyperspectral image (HSI) classification, due to its characteristic combination of images and spectra, has important applications in various fields through pixel-level image classification.
Jun Liu, Haoran Guo, Yile He, Huali Li
doaj   +1 more source

Differentiating solar lentigines from post‐inflammatory hyperpigmentation with hyperspectral imaging: A pilot study

International Journal of Cosmetic Science, Volume 48, Issue 4, Page 738-746, August 2026.
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana, Carl Blaksley, Ayako Itaya, Mai Edagawa, Alexandre Nicolas   +4 more
wiley   +1 more source

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu, Xiaodi Shang, Meiping Song, Jiaochan Hu, Tong Jiao, Qiandong Guo, Bing Zhang   +6 more
doaj   +1 more source

Refractive Index–Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology

Cytometry Part A, Volume 109, Issue 7, Page 500-512, July 2026.
ABSTRACT Conventional bright‐field (BF) cytology of thyroid fine‐needle aspiration biopsy (FNAB) suffers from staining variability and limited subcellular contrast. Here, we present a refractive index–correlated pseudocoloring (RICP) framework that integrates quantitative refractive index (RI) maps obtained by holotomography (HT) with color BF images ...
Minseok Lee, Tal Lifshitz, Young Ki Lee, Geon Kim, Seog Yun Park, Hayoung Lee, Juyeon Park, Eun Kyung Lee, YongKeun Park   +8 more
wiley   +1 more source

Evaluation of the Usefulness of Machine Learning and Artificial Intelligence on Hyperspectral Images in the Diagnosis of Myelodysplastic Syndrome

Journal of Biophotonics, Volume 19, Issue 7, July 2026.
Hyperspectral imaging (350–1050 nm) captures spectral information beyond the visible range from bone marrow biopsy specimens. An HSI‐based AI system using machine learning achieved up to 97% accuracy in diagnosing and classifying MDS, outperforming a previous RGB‐based study.
Yasuo Ueda, Takafumi Ogawa, Akane Wada, Genshu Tate, Yuta Baba, Tetsuya Fukuda, Toshiko Yamochi   +6 more
wiley   +1 more source

Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data

IEEE Access, 2019
Garbage detection is important for environmental monitoring in large areas. However, the manual patrol is time-consuming and labor-intensive. This paper proposes a method for monitoring garbage distribution in large areas with airborne hyperspectral data.
Dan Zeng, Shun Zhang, Fansheng Chen, Yueming Wang   +3 more
doaj   +1 more source

The Magnetic Mineralogy of Carbonaceous Chondrites: A Microscopy and Machine Learning Study of Meteorite WIS 91600

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 7, July 2026.
Abstract A central challenge in the paleomagnetic study of meteorites is to characterize their diverse remanence carriers. Here, we develop a machine‐learning assisted workflow that combines multi‐scale (mm to nm) and multi‐dimensional (2D‐3D) microscopy to build a comprehensive picture of ferromagnetic mineralogy in the C2 ungrouped carbonaceous ...
Richard J. Harrison, Po‐Yen Tung, Thomas Ginnis, Farhang Nabiei, Ursula Shaw, Elias N. Mansbach, James Bryson   +6 more
wiley   +1 more source

Recent Advances in Seed Separation Technologies and Quality Evaluation of Major Grain Crops: A Review

Journal of Food Process Engineering, Volume 49, Issue 7, July 2026.
A caption summarizing techniques that have been used in seed seperation and quality evaluation. ABSTRACT The growing demand for high‐quality grains has intensified the need for efficient seed separation and quality evaluation methods in industrial processing, especially for food applications. Despite notable technological progress, conventional systems
Pa Tamba Jammeh, Brent S. Hulke, Jarrad R. Prasifka, Cannayen Igathinathane, Xin Sun, Ewumbua Monono   +5 more
wiley   +1 more source

Hyperspectral and Infrared Image Collaborative Classification Based on Morphology Feature Extraction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
With the development of sensor technology, fusion of multiple remote sensors has aroused wide attention in the earth observation area. In this article, we propose to integrate the complementary information of hyperspectral image (HSI) and infrared image (
Dandan Cao, Mengmeng Zhang, Wei Li, Qiong Ran   +3 more
doaj   +1 more source