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Journal articles on the topic 'Band Combination'

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Published: 5 June 2025

Last updated: 2 August 2025

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1

Hartemink, M., and H. P. Godfried. "CF4 combination band absorption spectroscopy." Journal of Molecular Spectroscopy 148, no. 1 (1991): 1–12. http://dx.doi.org/10.1016/0022-2852(91)90029-a.

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2

McCall, Benjamin J., and Takeshi Oka. "Combination band spectroscopy of H3+." Journal of Chemical Physics 113, no. 8 (2000): 3104–10. http://dx.doi.org/10.1063/1.1287142.

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3

Mekpradab, Teerachet, Narumol Onanong, Surachet Chinnapark, Julongkorn Pattameak, and Prasert Kenpankho. "Galileo-E5a Bandwidth Frequency Filter Design for Galileo-E5a Receiver." ASEAN Journal of Science and Engineering 2, no. 2 (2021): 133–38. http://dx.doi.org/10.17509/ajse.v2i2.37798.

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This study focused on the design of the band-reject filter on the frequency of the Galileo satellite by providing bandwidth at the cut-off frequency equal to the bandwidth of the Galileo-E5a. The selecting of response characteristic is Butterworth's maximally flat, amplitude-frequency response of the band-reject filter. This poster shows the combination of the LPF and HPF to perform a band-reject filter. Therefore, there are two combinations also in designing for the band-reject filter. This combination aims to influence the performance of the band-reject filter. Band rejects filter design usi

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4

Henkel, Patrick, and Christoph Günther. "Joint L-/C-Band Code and Carrier Phase Linear Combinations for Galileo." International Journal of Navigation and Observation 2008 (April 9, 2008): 1–8. http://dx.doi.org/10.1155/2008/651437.

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Linear code combinations have been considered for suppressing the ionospheric error. In the L-band, this leads to an increased noise floor. In a combined L- and C-band (5010–5030 MHz) approach, the ionosphere can be eliminated and the noise floor reduced at the same time. Furthermore, combinations that involve both code- and carrier-phase measurements are considered. A new L-band code-carrier combination with a wavelength of 3.215 meters and a noise level of 3.92 centimeters is found. The double difference integer ambiguities of this combination can be resolved by extending the system of equat

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& Naji, Abduljabbar. "SEPARATING THE TERRAIN COVER OF IRAQI MARSHES REGION USINQ NEW SATELLITE BAND COMBINATION." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 51, no. 6 (2020): 1504–16. http://dx.doi.org/10.36103/ijas.v51i6.1178.

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A band combination (542) has been adopted and applied as a new method to classify the Iraqi marshes regions which they are located in the southern of Iraq using Landsat-5 TM scene. The results of proposed band combination were compared to the standard band combinations which they are selected to classify scene classes (541, 543 and 742). In addition, the results reveal that the standard band combinations are failed to discriminate between the scene classes that due to the aquatic nature of the scene, which makes the spectral response of the different classes very close, thus, they miss-classif

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Paso, R., K. Pekkala, M. Hasari та R. Anttila. "The combination band ν1 + ν4 CD3I". Spectrochimica Acta Part A: Molecular Spectroscopy 41, № 3 (1985): 483–86. http://dx.doi.org/10.1016/0584-8539(85)80154-9.

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7

Li, Shuying, Baidong Peng, Long Fang, and Qiang Li. "Hyperspectral Band Selection via Optimal Combination Strategy." Remote Sensing 14, no. 12 (2022): 2858. http://dx.doi.org/10.3390/rs14122858.

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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. However, these methods usually obtain the band subset in the perspective of a locally optimal solution. To achieve an optimal solution with a global perspective, this paper developed a novel method for hyperspectral band selection via optimal combination strategy (OCS). The main contributions are as follows: (1) a subspace partitioning approach is proposed which can accurately obtain the partitioning points of the subspace.

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8

de Cos, M. E., and F. Las-Heras. "Dual-Band Antenna/AMC Combination for RFID." International Journal of Antennas and Propagation 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/804536.

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A novel antenna/Artificial Magnetic Conductor (AMC) combination usable in dual-band Radio Frequency Identification (RFID) tags over metallic objects is presented. A compact and low thickness prototype is manufactured and characterized in terms of return loss and radiation properties in an anechoic chamber both alone and on a metallic plate. The performance exhibited by the presented antenna/AMC prototype is proper for RFID tags on both metallic and nonmetallic objects.

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9

Oza, Markand P. "Selection of band combination for IRS data." Journal of the Indian Society of Remote Sensing 17, no. 2 (1989): 23–26. http://dx.doi.org/10.1007/bf02991906.

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10

McDowell, Robin S., Martin J. Reisfeld, Norris G. Nereson, Burton J. Krohn та Chris W. Patterson. "The ν1 + ν3 combination band of 238UF6". Journal of Molecular Spectroscopy 113, № 1 (1985): 243–49. http://dx.doi.org/10.1016/0022-2852(85)90133-x.

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11

Xie, Fuding, Fangfei Li, Cunkuan Lei, and Lina Ke. "Representative Band Selection for Hyperspectral Image Classification." ISPRS International Journal of Geo-Information 7, no. 9 (2018): 338. http://dx.doi.org/10.3390/ijgi7090338.

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The high dimensionality of hyperspectral images (HSIs) brings great difficulty for their later data processing. Band selection, as a commonly used dimension reduction technique, is the selection of optimal band combinations from the original bands, while attempting to remove the redundancy between bands and maintain a good classification ability. In this study, a novel hybrid filter-wrapper band selection method is proposed by a three-step strategy, i.e., band subset decomposition, band selection and band optimization. Based on the information gain (IG) and the spectral curve of the hyperspect

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12

Zeng, Ju, Mou Leong Tan, Yi Lin Tew, et al. "Optimization of Open-Access Optical and Radar Satellite Data in Google Earth Engine for Oil Palm Mapping in the Muda River Basin, Malaysia." Agriculture 12, no. 9 (2022): 1435. http://dx.doi.org/10.3390/agriculture12091435.

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Continuous oil palm distribution maps are essential for effective agricultural planning and management. Due to the significant cloud cover issue in tropical regions, the identification of oil palm from other crops using only optical satellites is difficult. Based on the Google Earth Engine (GEE), this study aims to evaluate the best combination of open-source optical and microwave satellite data in oil palm mapping by utilizing the C-band Sentinel-1, L-band PALSAR-2, Landsat 8, Sentinel-2, and topographic images, with the Muda River Basin (MRB) as the test site. The results show that the land

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13

Liu, Shu, Qi Gang Jiang, Yan Xiao, and Yi Fan Yu. "Study of Optional Bands Combination of Landsat Imagery for Extracting Information of Ice Shelves." Advanced Materials Research 1073-1076 (December 2014): 1902–6. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1902.

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For the purpose of extracting the information of ice shelves, the statistical analysis of TM, ETM+ and Landsat8 OLI imagery of the typical area at the southwest corner of Wilkins Ice Shelf is conducted. Basic statistics of single bands were extracted and the correlation coefficients, joint entropy as well as the Optimum Index Factor among multiple bands were calculated. The results of experiments as well as the characteristics of spectrum characteristics of the surface features were taken into consideration comprehensively and the optional bands combinations were investigated. Results show tha

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Le, Yuan, Mengzhi Hu, Yifu Chen, et al. "Investigating the Shallow-Water Bathymetric Capability of Zhuhai-1 Spaceborne Hyperspectral Images Based on ICESat-2 Data and Empirical Approaches: A Case Study in the South China Sea." Remote Sensing 14, no. 14 (2022): 3406. http://dx.doi.org/10.3390/rs14143406.

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Accurate bathymetric and topographical information is crucial for coastal and marine applications. In the past decades, owing to its low cost and high efficiency, satellite-derived bathymetry has been widely used to estimate the depth of shallow water in coastal areas. However, insufficient spectral bands and availability of in situ water depths limit the application of satellite-derived bathymetry. Currently, the investigation about the bathymetric potential of hyperspectral imaging is relatively insufficient based on datasets of the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2). In t

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Chinnapark, Surachet, Narumol Onanong, Julongkorn Pattameak, Teerachet Mekpradab, and Prasert Kenpankho. "Galileo-E6 Bandwidth Frequency Filter Design for Galileo Receiver." ASEAN Journal of Science and Engineering 1, no. 2 (2021): 57–62. http://dx.doi.org/10.17509/ajse.v1i2.34224.

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This research discusses about the combination of the LPF and HPF to perform band reject filter. Therefore, there are two combination also in designing band reject filter. The aim of this combination to get know is there have an influence on the performance of band reject filter was designed by using the frequency of the GalileoE6 with bandwidth 40 MHz. This filter is used a Butterworth filter which is presented in this study. These filter circuit is composed 4rd order. In addition to, the combination between LPF and HPF forming to a band reject filter is designed. As a result, the filter desig

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16

YANG, YANTING, YANMING YANG, YU JUN ZHAO, and JING CHENG. "WATER WAVE PROPAGATING IN ONE-DIMENSIONAL COMBINATION BOTTOM SYSTEMS." International Journal of Modern Physics B 24, no. 11 (2010): 1463–70. http://dx.doi.org/10.1142/s0217979210055160.

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The water wave transmission properties and the frequency spectra of one-dimensional combination bottom of water and mercury with different filling fractions are studied by the transfer matrix method. For the periodic bottoms (PBs), the effect of the steps' numbers and the width on the band gaps are discussed. Each of whole band gaps is the juxtaposition of the gaps of three kinds of PBs, without covering. The numerical results show that the band gaps could be enlarged effectively by choosing the steps' width properly.

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Mohd Sabri, Norlina, Nor Diyana Md Sin, Mazidah Puteh, and Mohamad Rusop. "Optimization of RF Magnetron Sputtering Process Parameters Based on Genetic Algorithm and Neural Network." Advanced Materials Research 1109 (June 2015): 481–85. http://dx.doi.org/10.4028/www.scientific.net/amr.1109.481.

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A procedure for RF magnetron sputtering process parameter optimization is proposed in this paper. This study has been focusing on determining the optimal parameter combination for producing the desirable optical band gap. In this proposed procedure, Genetic Algorithm (GA) has been adapted as the optimization tool, while Artificial Neural Network (ANN) has been implemented as the prediction model. GA was adapted to search for the optimal parameter combination from the set of parameters, while later the ANN modeling had been utilized to predict the optical band gap energies for each of the param

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18

Nelson, David A., and Todd W. Fortune. "High-Level Psychophysical Tuning Curves." Journal of Speech, Language, and Hearing Research 34, no. 2 (1991): 360–73. http://dx.doi.org/10.1044/jshr.3402.360.

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Simultaneous-masked psychophysical tuning curves were obtained from normal-hearing listeners using low-level (20–25 dB SPL) probe tones in quiet and high-level (60 dB SPL) probe tones, both in quiet and in the presence of a broad-band background noise. The background noise was introduced to eliminate combination tones or combination bands and other off-frequency listening cues that exist at high levels. Tuning curves were obtained using pure-tone maskers and 100-Hz-wide narrow-band noise maskers for probe tones at 1000 and 4000 Hz. High-level tuning curves for pure-tone maskers demonstrated la

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19

Lamb, Brian T., Philip E. Dennison, W. Dean Hively, et al. "Optimizing Landsat Next Shortwave Infrared Bands for Crop Residue Characterization." Remote Sensing 14, no. 23 (2022): 6128. http://dx.doi.org/10.3390/rs14236128.

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This study focused on optimizing the placement of shortwave infrared (SWIR) bands for pixel-level estimation of fractional crop residue cover (fR) for the upcoming Landsat Next mission. We applied an iterative wavelength shift approach to a database of crop residue field spectra collected in Beltsville, Maryland, USA (n = 916) and computed generalized two- and three-band spectral indices for all wavelength combinations between 2000 and 2350 nm, then used these indices to model field-measured fR. A subset of the full dataset with a Normalized Difference Vegetation Index (NDVI) < 0.3 threshol

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20

Jusas and Samuvel. "Classification of Motor Imagery Using a Combination of User-Specific Band and Subject-Specific Band for Brain-Computer Interface." Applied Sciences 9, no. 23 (2019): 4990. http://dx.doi.org/10.3390/app9234990.

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The essential task of a Brain-Computer Interface (BCI) is to extract the motor imagery features from Electro-Encephalogram (EEG) signals for classifying the thought process. It is necessary to analyse these obtained signals in both the time domain and frequency domains. It is observed that the combination of multiple algorithms increases the performance of the feature extraction process. This paper identifies combinations that have not been attempted previously and improves the accuracy of the overall process, although other authors implemented different combinations of the techniques. The foc

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21

Liang, Yu, Yu Guo, Chuan Hui Wu, and Yan Gao. "Envelope Analysis Based on the Combination of Morlet Wavelet and Kurtogram." Advanced Materials Research 490-495 (March 2012): 305–8. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.305.

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Envelope analysis based on the combination of complex Morlet wavelet and Kurtogram have advantages of automatic calculation of the center frequency and bandwidth of required band-pass filter. However, there are some drawbacks in the traditional algorithm, which include that the filter bandwidth is not -3dB bandwidth and the analysis frequency band covered by the filter-banks are inconsistent at different levels. A new algorithm is introduced in this paper. Through it, both optimal center frequency and bandwidth of band-pass filter in the envelop analysis can be obtained adaptively. Meanwhile,

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22

Li, Fukai, Zhiqiang Yang, Yehuo Fan, Yuchun Li, and Guang Li. "Application of a New Combination Algorithm in ELF-EM Processing." Symmetry 12, no. 3 (2020): 337. http://dx.doi.org/10.3390/sym12030337.

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With regards to the electromagnetic measurement while drilling (EM-MWD), the extremely-low frequency electromagnetic wave signal (ELF-EM) below 20 Hz is usually used as the carrier of downhole measurement data due to the transmission characteristics of the electromagnetic wave (EM). However, influenced by the low frequency noise of drilling, the ELF-EM signal will be inevitably interfered by field noise, which ultimately impedes decoding. The Fourier band-pass filter can effectively remove out-of-band noise but is incapable of handling in-band noise. Therefore, based on the traditional method,

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23

Nelson, David A., and Todd W. Fortune. "High-Level Psychophysical Tuning Curves." Journal of Speech, Language, and Hearing Research 34, no. 2 (1991): 374–78. http://dx.doi.org/10.1044/jshr.3402.374.

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Simultaneous-masked psychophysical tuning curves were measured with narrow-band noise maskers varying in bandwidth from 40 Hz to 800 Hz to determine the masker bandwidths at which combination-band detection cues no longer influence tuning-curve shapes. Tuning curves were obtained at 1000 and 4000 Hz from normal-hearing listeners using high-level (60 dB SPL) probe tones in quiet and in the presence of a broadband background noise to eliminate combination bands and other off-frequency listening cues that exist at high levels. High-level tuning curves revealed notches on the low-frequency sides.

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24

Wei, Chunzhu, Qianying Zhao, Yang Lu, and Dongjie Fu. "Assessment of Empirical Algorithms for Shallow Water Bathymetry Using Multi-Spectral Imagery of Pearl River Delta Coast, China." Remote Sensing 13, no. 16 (2021): 3123. http://dx.doi.org/10.3390/rs13163123.

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Pearl River Delta (PRD), as one of the most densely populated regions in the world, is facing both natural changes (e.g., sea level rise) and human-induced changes (e.g., dredging for navigation and land reclamation). Bathymetric information is thus important for the protection and management of the estuarine environment, but little effort has been made to comprehensively evaluate the performance of different methods and datasets. In this study, two linear regression models—the linear band model and the log-transformed band ratio model, and two non-linear regression models—the support vector r

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Paglialonga, A., S. Fiocchi, M. Parazzini, P. Ravazzani, and G. Tognola. "Influence of tinnitus sound therapy signals on the intelligibility of speech." Journal of Laryngology & Otology 125, no. 8 (2011): 795–801. http://dx.doi.org/10.1017/s0022215111000867.

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AbstractObjective:To assess the influence on speech intelligibility of various signals used in tinnitus sound therapy.Materials and methods:We measured, in normal hearing subjects, the intelligibility of speech in the presence of three different sound therapy signals: wide-band noise, a recording of moving water, and a combination of tones.Results:For a given level of stimulation, speech intelligibility was worst in the presence of wide-band noise, compared with the other sound therapy signals. When the stimulation level of the three different signals was increased, speech intelligibility dete

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Alkan, D., and L. Karasaka. "SEGMENTATION OF LANDSAT-8 IMAGES FOR BURNED AREA DETECTION WITH DEEP LEARNING." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-M-1-2023 (August 15, 2023): 455–61. http://dx.doi.org/10.5194/isprs-archives-xlviii-m-1-2023-455-2023.

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Abstract. Fires damage nature and living beings. Detection of this damage is important for future. In this study, it was aimed to determine burned areas. For this purpose, Landsat-8 images and U-Net model were used. Python language was preferred. Band combinations 7,5,4; 5,3,7; 5,4,3; 4,3,2; 4,3,2,5 and 2,3,4,5,6,7 have been tried. Train and test processes were carried out separately for each band combination. After the train and test processes were completed, a probability result consisting of values between 0-1 was obtained. Then, a threshold value was used. Thus, binary results consisting o

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Damle, Mrinalini, and Nivedita Pawar. "Stability Indicating HPTLC Method for Sofosbuvir and Daclatasvir in Combination." International Journal of Pharmaceutical Sciences and Nanotechnology 13, no. 6 (2020): 5234–42. http://dx.doi.org/10.37285/ijpsn.2020.13.6.8.

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Direct acting antiviral agents represent the major advance in treatment of hepatitis C virus (HCV) infection. Daclatasvir with sofosbuvir that are co-administrated once per day oral dose has been reported to achieve a high rate of virological response in patients with HCV genotype 1, 2 or 3. So, the basic objective of a research involved development and validation of stability indicating HPTLC Method for simultaneous estimation of Sofosbuvir and Daclatasvir available in market in the form of combination tablet. Samples were applied on HPTLC aluminium plates precoated with silica gel 60 F254 (2

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Tang, Cong, Yang Wu, and Jing Huang. "Band Selection of Hyperspectral Chlorophyll-A Concentration Inversion Based on Parallel Ant Colony Algorithm." Applied Mechanics and Materials 675-677 (October 2014): 1158–62. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.1158.

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In chlorophyll-A concentration inversion which based on hyperspectral remote sensing image, must use ground synchronous spectrum measurement data to find the best three band combination by iterative-method, we proposed the problem to analysis the existing band selection methods of chlorophyll-A concentration inversion and put forward a band selection method of the hyperspectral chlorophyll-A concentration inversion three-band model which based on parallel ant colony algorithm. The method is based on analysis of the optical properties and three band model theory, determines the interval of the

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R., Sowmiya, and Nithya Gayathri Devi D. "Narrow band UVB therapy versus tazarotene and narrow band UVB combination therapy in psoriasis: a comparative study." International Journal of Research in Dermatology 4, no. 3 (2018): 429. http://dx.doi.org/10.18203/issn.2455-4529.intjresdermatol20183171.

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<p class="abstract"><strong>Background:</strong> Narrow band UVB phototherapy (NBUVB) is considered one of the most effective therapeutic modalities for patients with psoriasis. The long term side effects of narrowband UVB therapy have not been fully documented. There has been a great deal of interest in photo combination therapies that are capable of both reducing cumulative UVB doses and accelerating resolution of skin lesions. The aim of our study was to compare the efficacy and tolerability of NBUVB plus tazarotene combination therapy with NBUVB mono therapy.</p>&lt

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Zhang, Rongrong, Jian Cui, Wenge Zhou, et al. "Estimation of the Total Soil Nitrogen Based on a Differential Evolution Algorithm from ZY1-02D Hyperspectral Satellite Imagery." Agronomy 13, no. 7 (2023): 1842. http://dx.doi.org/10.3390/agronomy13071842.

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Precise fertilizer application in agriculture requires accurate and dependable measurements of the soil total nitrogen (TN) concentration. Henan Province is one of the most important grain-producing areas in China. In order to promote the development of precision agriculture in Henan Province, this study took the high-standard basic farmland construction area in central Henan Province as the research area. Using single-phase images acquired from the ZY1-02D satellite hyperspectral sensor on 28 January 2021 (with a spatial resolution of 30 m × 30 m, a spectral range that covered 400–2500 nm, an

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Han, Xizhen, Zhengang Jiang, Yuanyuan Liu, Jian Zhao, Qiang Sun, and Yingzhi Li. "A Spatial–Spectral Combination Method for Hyperspectral Band Selection." Remote Sensing 14, no. 13 (2022): 3217. http://dx.doi.org/10.3390/rs14133217.

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Hyperspectral images are characterized by hundreds of spectral bands and rich information. However, there exists a large amount of information redundancy among adjacent bands. In this study, a spatial–spectral combination method for hyperspectral band selection (SSCBS) is proposed to reduce information redundancy. First, the hyperspectral image is automatically divided into subspaces. Seven algorithms classified as four types are executed and compared. The means algorithm is the most suitable for subspace division of the input hyperspectral image, with the calculation being the fastest. Then,

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32

Kim, Kyu Chull, та Roberta N. Mulford. "The combination bands (ν1+ν3, ν2+ν3) and overtone band (3ν3) of neptunium hexafluoride". Chemical Physics Letters 159, № 4 (1989): 327–30. http://dx.doi.org/10.1016/0009-2614(89)87494-9.

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P G Patil, S. K. Shukla, and T. S. Manojkumar. "Effects of Spiked Cylinder and Saw Band Pre-Cleaners on Trash Removal Efficiency and Fibre Properties of Cotton." Journal of Agricultural Engineering (India) 45, no. 2 (2008): 66–70. http://dx.doi.org/10.52151/jae2008452.1330.

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A study was conducted to determine the effects of spiked cylinder and saw band pre-cleaners on trash removal efficiency and fibre properties in case of three cotton samples A, Band C having staple length 29.6, 29.0 and 25.8 mm, respectively. The trash removal efficiency and different fibre attributes of four sets of pre-cleaning operations viz., spiked cylinder cleaner, saw band cylinder cleaner, saw band cum spiked cylinder pre-cleaners and spiked cylinder cum saw band pre-cleaners were compared with control. The highest trash removal efficiencies were found 21.9%, 21.5% and 26.5% in spiked c

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Ramli, M. F., and D. N. Petley. "Best band combination for landslide studies in temperate environments." International Journal of Remote Sensing 27, no. 6 (2006): 1219–31. http://dx.doi.org/10.1080/01431160500306740.

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Kondo, Shigeo, Yoshinori Koga, and Taisuke Nakanaga. "Binary overtone and combination band intensities of methyl fluoride." Journal of Physical Chemistry 90, no. 8 (1986): 1519–24. http://dx.doi.org/10.1021/j100399a011.

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Wang, Wei, Meng-Jiang Xing, and Xuyue Guo. "A CIRCULARLY-POLARIZED MICROSTRIP ANTENNA WITH QUAD-BAND COMBINATION." Progress In Electromagnetics Research Letters 61 (2016): 31–38. http://dx.doi.org/10.2528/pierl16012807.

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Ettehadi Osgouei, Paria, Sinasi Kaya, Elif Sertel, and Ugur Alganci. "Separating Built-Up Areas from Bare Land in Mediterranean Cities Using Sentinel-2A Imagery." Remote Sensing 11, no. 3 (2019): 345. http://dx.doi.org/10.3390/rs11030345.

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In this research work, a multi-index-based support vector machine (SVM) classification approach has been proposed to determine the complex and morphologically heterogeneous land cover/use (LCU) patterns of cities, with a special focus on separating bare lands and built-up regions, using Istanbul, Turkey as the main study region, and Ankara and Konya (in Turkey) as the independent test regions. The multi-index approach was constructed using three-band combinations of spectral indices, where each index represents one of the three major land cover categories, green areas, water bodies, and built-

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Abubakar, Jabir, Zhaochong Zhang, Zhiguo Cheng, Fojun Yao, and Abdoul-Aziz Bio Sidi D. Bouko. "Advancing Skarn Iron Ore Detection through Multispectral Image Fusion and 3D Convolutional Neural Networks (3D-CNNs)." Remote Sensing 16, no. 17 (2024): 3250. http://dx.doi.org/10.3390/rs16173250.

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This study explores novel techniques to improve the detection accuracy of skarn iron deposits using advanced image-processing methodologies. Leveraging the capabilities of ASTER image, band ratio (BR) images, and principal component analysis (PCA) alongside the power of 3D convolutional neural networks (3D-CNNs), the research aims to enhance the precision and efficiency of ore detection in complex geological environments. The proposed method employs a specific 3D-CNN architecture accepting input as a 7 × 7 × C image patch, where C represents the combined number of selected ASTER image bands, p

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Zhu, Jinbiao, Jie Pan, Wen Jiang, Xijuan Yue, and Pengyu Yin. "SAR Image Fusion Classification Based on the Decision-Level Combination of Multi-Band Information." Remote Sensing 14, no. 9 (2022): 2243. http://dx.doi.org/10.3390/rs14092243.

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Synthetic aperture radar (SAR) is an active coherent microwave remote sensing system. SAR systems working in different bands have different imaging results for the same area, resulting in different advantages and limitations for SAR image classification. Therefore, to synthesize the classification information of SAR images into different bands, an SAR image fusion classification method based on the decision-level combination of multi-band information is proposed in this paper. Within the proposed method, the idea of Dempster–Shafer evidence theory is introduced to model the uncertainty of the

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Afgatiani, P. M., A. G. Suhadha, and A. Ibrahim. "The capability of Sentinel-1 polarization combinations for oil spill detection (study case: Karawang, Indonesia)." IOP Conference Series: Earth and Environmental Science 1109, no. 1 (2022): 012078. http://dx.doi.org/10.1088/1755-1315/1109/1/012078.

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Abstract Marine pollution is one of issues that is widely discussed such as marine debris, chemical contamination, and oil spill. It has many impacts on the environment. Remote sensing helps detect the presence of an oil spill via satellite platform. One commonly used satellite is Synthetic-Aperture Radar (SAR) imagery, which can see oil spills even in cloudy conditions. However, the black and white appearance of the radar sometimes makes it difficult to distinguish between an oil spill and look alike. Therefore, this study aims to determine the polarization combination in the Sentinel-1 SAR i

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Zhang, Shuai, Yong Xiang Zhang, and Jie Ping Zhu. "Rolling Bearing Feature Extraction Based on Wavelet Filtering with Optimal Combination Bands." Applied Mechanics and Materials 599-601 (August 2014): 434–40. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.434.

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In order to select the band-pass filter parameters reasonably, a new method of rolling bearing feature extraction based on wavelet filtering with optimal combination bands is proposed. Filter banks with different number of filter/octave are constructed by Morlet wavelet, which are used to filter the signal. The filters with the optimal frequency-band are selected according to the kurtosis of the filtered signal. Then, the optimal band filters in each filter bank are combined to filter the signals and the feature extraction is available. Through simulation and experimental verification, results

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Gao, Hongmin, Yao Yang, Xiaoke Zhang, Chenming Li, Qi Yang, and Yongchang Wang. "Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory." Sensors 19, no. 6 (2019): 1327. http://dx.doi.org/10.3390/s19061327.

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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 as evaluation criteria, and will lead to a single-target problem. In this case, the chosen optimal band combination may be unfavorable for the improvement of follow-up classification accuracy. Thus, in this work, inter-band correlation is considered as the premise, and information entropy and interclass separability are synthesized as the evalua

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Brill, Laura C., and Carl P. Giegold. "Small band rooms for large bands: Balancing loudness and musicality." Journal of the Acoustical Society of America 152, no. 4 (2022): A22. http://dx.doi.org/10.1121/10.0015409.

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When band rooms are smaller than ideal for the ensembles they support, there are safety concerns due to loudness. In the case study presented, students have experienced excessive loudness and difficult ensemble conditions due to inadequate ceiling height, absorption, and volume. This paper will discuss the strategies explored to increase acoustic volume to the extent possible within floorplate boundaries while finishing the space with a combination of absorption and diffusion. The goal of these interventions is to preserve ensemble and a sense of musicality to assure students and faculty they

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Zhang, Yangyang, Jian Yang, and Lin Du. "Analyzing the Effects of Hyperspectral ZhuHai-1 Band Combinations on LAI Estimation Based on the PROSAIL Model." Sensors 21, no. 5 (2021): 1869. http://dx.doi.org/10.3390/s21051869.

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Leaf area index (LAI) is a key biophysical variable to characterize vegetation canopy. Accurate and quantitative LAI estimation is significant for monitoring vegetation growth status. ZhuHai-1 (ZH-1), which is a commercial remote sensing micro-nano satellite, provides a possibility for quantitative detection of vegetation with high spatial and spectral resolution. However, the band characteristics of ZH-1 are closely related to the accuracy of vegetation monitoring. In this study, a simulation dataset containing 32 bands of ZH-1 was generated by using the PROSAIL model, which was used to analy

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Hossain, M. B., M. R. I. Faruque, and S. Abdullah. "Modified combination of triple split ring resonator based triple band single negative metamaterial for satellite applications." IOP Conference Series: Earth and Environmental Science 1167, no. 1 (2023): 012041. http://dx.doi.org/10.1088/1755-1315/1167/1/012041.

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Abstract This paper investigates a modified combination of triple split ring resonator (SRR) based triple band single negative metamaterial for satellite applications. The proposed unit cell structure has a triple split ring resonator i.e. square, circular and rhombus shape. The lower plane completely encloses the FR-4 substrate with a thickness of 1.6 mm, on top of which the metallic resonating structure with thickness of 0.035 mm is attached. The structure provides quad band resonances of transmission coefficient (S21) at 2.02 (S-band), 6.77 (C-band), and 13.22 (Ku-band) GHz with magnitude o

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Zhang, B.-G., J.-Q. Zhu, W. Zhang, F.-X. Su, G.-Q. Wang, and X.-G. Ni. "Effect of a training course on the diagnosis of vocal fold leukoplakia by narrow-band imaging." Journal of Laryngology & Otology 134, no. 10 (2020): 899–904. http://dx.doi.org/10.1017/s002221512000211x.

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AbstractObjectiveTo investigate the value of narrow-band imaging training for differentiating between benign and malignant vocal fold leukoplakia.MethodThirty cases of vocal fold leukoplakia were selected.ResultsNarrow-band imaging endoscopy training had a significant positive effect on the specificity of the differential diagnosis of vocal fold leukoplakia. In addition, the consistency of diagnostic typing of vocal fold leukoplakia by narrow-band imaging improved to ‘moderate agreement’ following the combination of types I and II and the combination of types IV, V and VI in the typing of voca

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Et. al., Vutukuri Sarvani Duti Rekha,. "A Compact Dual Notch Frequency Reconfigurable Antenna for WIMAX,DSRC, RADAR and Ku band Communication Applications." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 740–46. http://dx.doi.org/10.17762/itii.v9i2.407.

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A frequency reconfigurable ultra-wide band antenna with dual notch bands is proposed in this paper. PIN diodes are located on ultra-wide band monopole antenna and are investigated for frequency reconfigurable characteristic of the proposed antenna. Multi-bands and narrow bands have been achieved by different combinations. Proposed antenna is fabricated on FR-4 substrate of dimensions 37 x 40 x 0.8mm3. For the successful combinations, antenna performance parameters like S11 characteristics, surface current distribution, peak gain, radiation efficiency and 2D radiation patterns are analyzed and

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Ariati, P. E. P., I. G. P. Wirawan, and M. M. V. Sasadara. "Optimization of primer and polymerase chain reaction conditions to amplify COI locus for identification of Purnajiwa (Euchresta horsfieldii (Lesch.) Benn.) collected from Bedugul, Bali." IOP Conference Series: Earth and Environmental Science 913, no. 1 (2021): 012069. http://dx.doi.org/10.1088/1755-1315/913/1/012069.

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Abstract The polymerase chain reaction (PCR) has been used for molecular research to amplify DNA fragments, especially from a small amount of genetic material. PCR has been applied for numerous researches, including for plant molecular identification. A good PCR product is dependent on good amplification of the DNA segment in optimum condition. This research was conducted to optimize the primer combination, and the annealing temperature for DNA barcoding application of Balinese rare medicinal plant (Euchresta horsfieldii (Lesch.) Benn.) collected from Bedugul. COI is a suitable primer to ident

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Shelke, Ashwini, and Tushar Lokhande. "Desitometric Development and Validation for Simultaneous Determination of Antiretroviral Drugs Lamivudine, Zidovudine and Nevirapine in Fixed-Dose Combination Tablets." INTERNATIONAL JOURNAL OF DRUG DELIVERY TECHNOLOGY 14, no. 01 (2024): 352–56. http://dx.doi.org/10.25258/ijddt.14.1.50.

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A cutting-edge high-performance thin layer chromatography (HPTLC) approach designed for simultaneous measurement of tablets containing drugs like lamivudine, nevirapine, and zidovudine. Chromatograms were performed employing chloroform and methanol (8:2 v/v) on pre-coated silica gel aluminum thin-layer chromatography (TLC) plates. The data was quantified using the optical density absorbance mode at 271 nm. The Rf values for lamivudine, zidovudine, and nevirapine were 0.140, 0.523, and 0.678, respectively. Linearity was found for lamivudine, zidovudine and nevirapine at concentrations of 150 to

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Yao, Hang, Bolin Fu, Ya Zhang, et al. "Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm." Remote Sensing 14, no. 21 (2022): 5478. http://dx.doi.org/10.3390/rs14215478.

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Combinations of multi-sensor remote sensing images and machine learning have attracted much attention in recent years due to the spectral similarity of wetland plant canopy. However, the integration of hyperspectral and quad-polarization synthetic aperture radar (SAR) images for classifying marsh vegetation has still been faced with the challenges of using machine learning algorithms. To resolve this issue, this study proposed an approach to classifying marsh vegetation in the Honghe National Nature Reserve, northeast China, by combining backscattering coefficient and polarimetric decompositio

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