Results 31 to 40 of about 296,860 (257)
Adaptive Distance-Based Band Hierarchy (ADBH) for Effective Hyperspectral Band Selection [PDF]
IEEE Transactions on Cybernetics, 2022 Band selection has become a significant issue for the efficiency of the hyperspectral image (HSI) processing. Although many unsupervised band selection (UBS) approaches have been developed in the last decades, a flexible and robust method is still lacking.
He Sun 0009 +6 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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A multi-band high selectivity frequency selective surface for ka-band applications
2017 10th Global Symposium on Millimeter-Waves, 2017 This paper proposes a new method to implement Frequency Selective Surfaces (FSSs) with sharp band edge transitions suitable for millimetres wave applications. A bandpass FSS can be realized by combining two bandstop FSS structures on the same plane.
Hussein, Muaad +3 more
openaire +1 more source
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
doaj +1 more source
Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum
IEEE Access, 2019 Device-to-device (D2D) communication with increased spectral efficiency and reduced communication delay has undoubtedly become a general trend in future wireless networks.
Yuanfei Liu +3 more
doaj +1 more source
Frontiers in Earth ScienceHyperspectral data from the Airborne Visible and Infra-Red Imaging Spectrometer – Next-Generation (AVIRIS-NG) offers transformative potential for Earth science research, enabling detailed analysis of land surface processes, resource monitoring, and ...
Veerendra Satya Sylesh Peddinti +3 more
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Optimal Band Analysis of a Space-Based Multispectral Sensor for Urban Air Pollutant Detection
Atmosphere, 2019 Air pollution continues to attract more and more public attention. Space-based infrared sensors provide a measure to monitor air quality in large areas.
Xiaoyu He, Xiaojian Xu, Zheng Zheng
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro +11 more
wiley +1 more source
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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source