Results 11 to 20 of about 282,395 (263)
HYBASE: hyperspectral band selection [PDF]
SPIE Proceedings, 2009 Band selection is essential in the design of multispectral sensor systems. This paper describes the TNO hyperspectral band selection tool HYBASE. It calculates the optimum band positions given the number of bands and the width of the spectral bands.
Schwering, P.B.W. +2 more
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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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Progressive band selection [PDF]
SPIE Proceedings, 2009 Progressive band selection (PBS) reduces spectral redundancy without significant loss of information, thereby reducing hyperspectral image data volume and processing time. Used onboard a spacecraft, it can also reduce image downlink time. PBS prioritizes an image's spectral bands according to priority scores that measure their significance to a ...
Kevin Fisher, Chein-I Chang
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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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A tri-band Frequency-Selective Surface
Journal of Electromagnetic Waves and Applications, 2021 A novel low-profile tri-band bandpass frequency-selective surface (FSS) is proposed in this paper.
Mahaveer, Uttamchand +5 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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Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging
Remote Sensing, 2020 The defective beans of coffee are categorized into black beans, fermented beans, moldy beans, insect damaged beans, parchment beans, and broken beans, and insect damaged beans are the most frequently seen type.
Shih-Yu Chen +3 more
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A Pseudo-Label Guided Artificial Bee Colony Algorithm for Hyperspectral Band Selection
Remote Sensing, 2020 Hyperspectral remote sensing images have characteristics such as high dimensionality and high redundancy. This paper proposes a pseudo-label guided artificial bee colony band selection algorithm with hypergraph clustering (HC-ABC) to remove redundant and
Chunlin He, Yong Zhang, Dunwei Gong
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EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection
Remote Sensing, 2021 Hyperspectral band selection (BS) is an effective means to avoid the Hughes phenomenon and heavy computational burden in hyperspectral image processing.
Yufei Liu +3 more
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