Avocado fruit sorting by hyperspectral images [PDF]
Пищевые системы, 2023 The paper shows the use of the methods of hyperspectral imaging (HSI) in a range of 400–1000 nm and multivariate analysis for sorting Hass avocado fruits.
D. A. Metlenkin +4 more
doaj +3 more sources
Anomaly Detection for Hyperspectral Images Based on Anisotropic Spatial-Spectral Total Variation and Sparse Constraint [PDF]
MATEC Web of Conferences, 2018 A novel anomaly detection method for hyperspectral images (HSIs) is proposed based on anisotropic spatial-spectral total variation and sparse constraint.
Huihui Ju +3 more
doaj +2 more sources
Hyperspectral Anomaly Detection Based on Wasserstein Distance and Spatial Filtering [PDF]
Remote Sensing, 2022 Since anomaly targets in hyperspectral images (HSIs) with high spatial resolution appear as connected areas instead of single pixels or subpixels, both spatial and spectral information of HSIs can be exploited for a hyperspectal anomaly detection (AD ...
Xiaoyu Cheng +3 more
doaj +2 more sources
Stepwise Fusion of Hyperspectral, Multispectral and Panchromatic Images with Spectral Grouping Strategy: A Comparative Study Using GF5 and GF1 Images [PDF]
Remote Sensing, 2022 Since hyperspectral satellite images (HSIs) usually hold low spatial resolution, improving the spatial resolution of hyperspectral imaging (HSI) is an effective solution to explore its potential for remote sensing applications, such as land cover mapping
Leping Huang +5 more
doaj +2 more sources
Linear Spatial Misregistration Detection and Correction Based on Spectral Unmixing for FAHI Hyperspectral Imagery [PDF]
Sensors, 2022 In push-broom hyperspectral imaging systems, the sensor rotation to the optical plane leads to linear spatial misregistration (LSM) in hyperspectral images (HSIs).
Xiangyue Zhang +3 more
doaj +2 more sources
Sketch-Based Subspace Clustering of Hyperspectral Images [PDF]
Remote Sensing, 2020 Sparse subspace clustering (SSC) techniques provide the state-of-the-art in clustering of hyperspectral images (HSIs). However, their computational complexity hinders their applicability to large-scale HSIs.
Shaoguang Huang +3 more
doaj +3 more sources
A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping [PDF]
Remote Sensing, 2017 Hyperspectral imaging technology has been used for geological analysis for many years wherein mineral mapping is the dominant application for hyperspectral images (HSIs).
Lianru Gao +5 more
doaj +2 more sources
Detection of Hydroxychloroquine Retinopathy via Hyperspectral and Deep Learning through Ophthalmoscope Images [PDF]
Diagnostics, 2023 Hydroxychloroquine, also known as quinine, is primarily utilized to manage various autoimmune diseases, such as systemic lupus erythematosus, rheumatoid arthritis, and Sjogren’s syndrome.
Wen-Shuang Fan +6 more
doaj +2 more sources
Enhancing Binary Change Detection in Hyperspectral Images Using an Efficient Dimensionality Reduction Technique Within Adversarial Learning [PDF]
Remote SensingDetecting binary changes in co-registered bitemporal hyperspectral images (HSIs) using deep learning methods is challenging due to the high dimensionality of spectral data and significant variations between images.
Amel Oubara +4 more
doaj +2 more sources
Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-image Changes [PDF]
, 2021 The high spectral resolution of hyperspectral images (HSIs) generally comes at the expense of low spatial resolution, which hinders the application of HSIs.
Xu, M, Fu, X, Jia, S, Zhou, J, Li, Q
core +1 more source