Results 21 to 30 of about 319,748 (260)
Hierarchical Clustering Based Band Selection Algorithm for Hyperspectral Face Recognition
IEEE Access, 2019 Hyperspectral face recognition is a small sample size problem, where usually less than four hyperspectral cubes are available as training data. At the same time, hyperspectral face image acquires grayscale images over a series of continuous spectra which
Qidong Chen +4 more
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Remote Sensing, 2022 Understanding the concentration and distribution of cyanobacteria blooms is an important aspect of managing water quality problems and protecting aquatic ecosystems.
Wonjin Jang +8 more
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Remote Sensing, 2023 Hyperspectral data usually consists of hundreds of narrow spectral bands and provides more detailed spectral characteristics compared to commonly used multispectral data in remote sensing applications.
Hua Yang +5 more
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An Effective Feature Segmentation Algorithm for a Hyper-Spectral Facial Image
Information, 2018 The human face as a biometric trait has been widely used for personal identity verification but it is still a challenging task under uncontrolled conditions.
Yuefeng Zhao +4 more
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Sensors, 2019 Information entropy and interclass separability are adopted as the evaluation criteria of dimension reduction for hyperspectral remote sensor data. However, it is rather single-faceted to simply use either information entropy or interclass separability ...
Hongmin Gao +5 more
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Mixed-Noise Band Selection for Hyperspectral Images
IEEE Access, 2020 Hyperspectral images (HSIs) with abundant spectral information are generally susceptible to various types of noise, such as Gaussian noise and stripe noise.
Zhen Li, Chenwei Deng, Yun Huang
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Remote Sensing, 2023 This article provides insights into the optical signatures of plastic litter based on a published laboratory-scale reflectance data set (350–2500 nm) of dry and wet plastic debris under clear and turbid waters using different band selection techniques ...
Mohammadali Olyaei, Ardeshir Ebtehaj
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A Band Influence Algorithm for Hyperspectral Band Selection to Classify Moldy Peanuts [PDF]
IEEE Access, 2021 Moldy peanuts are often found in harvested and stored peanuts. Aflatoxins in moldy peanuts pose a potential risk to food safety. Hyperspectral imaging techniques is often used for rapid nondestructive testing of food. However, the information redundancy of hyperspectral data has a negative effect on the processing speed and classification accuracy.
Ziwei Liu 0012 +3 more
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Band Ranking via Extended Coefficient of Variation for Hyperspectral Band Selection
Remote Sensing, 2020 Hundreds of narrow bands over a continuous spectral range make hyperspectral imagery rich in information about objects, while at the same time causing the neighboring bands to be highly correlated.
Peifeng Su +2 more
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Problem-based band selection for hyperspectral images [PDF]
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 This paper addresses the band selection of a hyperspectral image. Considering a binary classification, we devise a method to choose the more discriminating bands for the separation of the two classes involved, by using a simple algorithm: single-layer neural network. After that, the most discriminative bands are selected, and the resulting reduced data
Habermann, Mateus +2 more
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