Results 11 to 20 of about 2,924,189 (218)
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
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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
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A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping
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
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HYPERSPECTRAL IMAGE DENOISING USING A NONLOCAL SPECTRAL SPATIAL PRINCIPAL COMPONENT ANALYSIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Hyperspectral images (HSIs) denoising is a critical research area in image processing duo to its importance in improving the quality of HSIs, which has a negative impact on object detection and classification and so on.
D. Li, L. Xu, J. Peng, J. Ma
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Hyperspectral Anomaly Detection Based on Wasserstein Distance and Spatial Filtering
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
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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
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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
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HSI-MSER: Hyperspectral Image Registration Algorithm Based on MSER and SIFT [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This work was supported in part by Ministerio de Ciencia e Innovación, Government of Spain [grant number PID2019-104834GB-I00], and Consellería de Cultura, Educación e Universidade [grant numbers ED431C 2018/19, and accreditation 2019-2022 ED431G-2019/04]. All are co--funded by the European Regional Development Fund (ERDF).
Álvaro Ordóñez +3 more
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HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image [PDF]
CoRR, 2018 With the development of deep learning, the performance of hyperspectral image (HSI) classification has been greatly improved in recent years. The shortage of training samples has become a bottleneck for further improvement of performance. In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral ...
Yanan Luo +4 more
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Remote Sensing, 2023 Hyperspectral images (HSIs) are widely used to identify and characterize objects in scenes of interest, but they are associated with high acquisition costs and low spatial resolutions.
Liyao Song +6 more
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