Results 31 to 40 of about 289,355 (305)

Double Deep Q-Network for Hyperspectral Image Band Selection in Land Cover Classification Applications

open access: yesRemote 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
doaj   +1 more source

A tri-band Frequency-Selective Surface

open access: yesJournal 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
openaire   +3 more sources

Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms

open access: yesRemote 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
doaj   +1 more source

Detection of Insect Damage in Green Coffee Beans Using VIS-NIR Hyperspectral Imaging

open access: yesRemote 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
doaj   +1 more source

A Pseudo-Label Guided Artificial Bee Colony Algorithm for Hyperspectral Band Selection

open access: yesRemote 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
doaj   +1 more source

EBARec-BS: Effective Band Attention Reconstruction Network for Hyperspectral Imagery Band Selection

open access: yesRemote 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
doaj   +1 more source

C-Band and X-Band Switchable Frequency-Selective Surface [PDF]

open access: yesElectronics, 2021
This paper presents a highly compact frequency-selective surface (FSS) that has the potential to switch between the X-band (8 GHz–12 GHz) and C-band (4 GHz–8 GHz) for RF shielding applications. The proposed FSS is composed of a square conducting loop with inward-extended arms loaded with curved extensions. The symmetric geometry allows the RF shield to
Umer Farooq   +6 more
openaire   +1 more source

Hyperspectral Band Selection via Optimal Combination Strategy

open access: yesRemote Sensing, 2022
Band selection is one of the main methods of reducing the number of dimensions in a hyperspectral image. Recently, various methods have been proposed to address this issue.
Shuying Li   +3 more
doaj   +1 more source

Crop Classification for Agricultural Applications in Hyperspectral Remote Sensing Images

open access: yesApplied Sciences, 2022
Hyperspectral imaging (HSI), measuring the reflectance over visible (VIS), near-infrared (NIR), and shortwave infrared wavelengths (SWIR), has empowered the task of classification and can be useful in a variety of application areas like agriculture, even
Loganathan Agilandeeswari   +4 more
doaj   +1 more source

Fluorescence Hyperspectral Imaging for Early Diagnosis of Heat-Stressed Ginseng Plants

open access: yesApplied Sciences, 2022
Ginseng is a perennial herbaceous plant that has been widely consumed for medicinal and dietary purposes since ancient times. Ginseng plants require shade and cool temperatures for better growth; climate warming and rising heat waves have a negative ...
Mohammad Akbar Faqeerzada   +7 more
doaj   +1 more source

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