A Dual-Branch Extraction and Classification Method Under Limited Samples of Hyperspectral Images Based on Deep Learning [PDF]
Remote Sensing, 2020 The convolutional neural network (CNN) has been gradually applied to the hyperspectral images (HSIs) classification, but the lack of training samples caused by the difficulty of HSIs sample marking and ignoring of correlation between spatial and spectral
Bingqing Niu +3 more
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Evaluation of Focus Measures for Hyperspectral Imaging Microscopy Using Principal Component Analysis [PDF]
Journal of ImagingAn automatic focusing system is a crucial component of automated microscopes, adjusting the lens-to-object distance to find the optimal focus by maximizing the focus measure (FM) value.
Humbat Nasibov
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Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network [PDF]
Remote Sensing, 2023 In hyperspectral unmixing (HU), spectral variability in hyperspectral images (HSIs) is a major challenge which has received a lot of attention over the last few years.
Burkni Palsson +2 more
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Novel Data-Driven Spatial-Spectral Correlated Scheme for Dimensionality Reduction of Hyperspectral Images [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral imaging technology has been popularly applied in remote sensing because it collects echoed signals from across the electromagnetic (EM) spectrum and thereby contributes fruitfully spatial-spectral information.
Yanming Zhang +3 more
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HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark [PDF]
Journal of ImagingHyperspectral remote sensing images (HSIs) provide invaluable information for environmental and agricultural monitoring, yet they are often degraded by atmospheric haze, which distorts spatial and spectral content and hinders downstream analysis ...
Artem Nikonorov +7 more
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A Hyperspectral Remote Sensing Image Encryption Algorithm Based on a Novel Two-Dimensional Hyperchaotic Map [PDF]
EntropyWith the rapid advancement of hyperspectral remote sensing technology, the security of hyperspectral images (HSIs) has become a critical concern. However, traditional image encryption methods—designed primarily for grayscale or RGB images—fail to address
Zongyue Bai +5 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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Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image Prior
Remote Sensing, 2021 The ever-increasing spectral resolution of hyperspectral images (HSIs) is often obtained at the cost of a decrease in the signal-to-noise ratio (SNR) of the measurements.
Lina Zhuang, Michael K. Ng, Xiyou Fu
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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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A NEW SPECTRAL-SPATIAL SUBSPACE CLUSTERING ALGORITHM FOR HYPERSPECTRAL IMAGE ANALYSIS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 In the past decade, hyperspectral imaging techniques have been widely used in various applications to acquire high spectral-spatial resolution images from different objects and materials.
K. Rafiezadeh Shahi +5 more
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