Results 21 to 30 of about 296,860 (257)
Remote Sensing, 2017 This paper proposes to use band selection-based dimensionality reduction (BS-DR) technique in addressing a challenging multi-temporal hyperspectral images change detection (HSI-CD) problem. The aim of this work is to analyze and evaluate in detail the CD
Sicong Liu +5 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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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, 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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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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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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A Split-and-Merge Approach for Hyperspectral Band Selection [PDF]
IEEE Geoscience and Remote Sensing Letters, 2017 The problem of band selection (BS) is of great importance to handle the curse of dimensionality for hyperspectral image (HSI) applications (e.g., classification). This letter proposes an unsupervised BS approach based on a split-and-merge concept. This new approach provides relevant spectral sub-bands by splitting the adjacent bands without violating ...
Shaheera Rashwan, Nicolas Dobigeon
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