Results 31 to 40 of about 314,709 (295)
Dual Homogeneous Patches-Based Band Selection Methodology for Hyperspectral Classification
Remote Sensing, 2023 Homogeneous band- or pixel-based feature selection, which exploits the difference between spectral or spatial regions to select informative and low-redundant bands, has been extensively studied in classifying hyperspectral images (HSIs).
Xianyue Wang +3 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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Hyperspectral band selection using statistical models [PDF]
, 2022 Paper 80481QHyperspectral sensors are delivering a data cube consisting of hundreds of images gathered in adjacent frequency bands. Processing such data requires solutions to handle the computational complexity and the information redundancy.
Ebert, A. +3 more
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Band Subset Selection for Hyperspectral Image Classification [PDF]
, 2018 This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one ...
Yu, Chunyan +2 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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Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression [PDF]
, 2021 Band selection is an effective means to alleviate the curse of dimensionality in hyperspectral data. Many methods select a compact and low redundant band subset, which is inadequate as it may degrade the classification performance. Instead, more emphasis
Mei, Xiaoguang +6 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
doaj +1 more source
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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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
openaire +2 more sources
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
doaj +1 more source