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140 results for “Spectral”
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Research ArticleOpen accessEvery word in the titleSpectral and Luminescence Properties of Manganese Doped Sodium Lead Alumino Borosilicate Glass SystemK. Vijaya Babu, A. Subba Rao, K. Naresh Kumar, M. Venugopala RaoNa2O-PbO-Al2O3-B2O3-SiO2 glasses mixed with different concentrations of MnO (ranging from 0.3 to 0.9 mol %) was prepared by melt quenching technique. The samples were characterized by X-ray diffraction technique, Optical absorption and Photo luminescence technique. A prepared glass sample is confirmed by X-ray diffraction spectra. The optical absorption spectra of these glasses exhibited a predominant broad band peak at 21,052 … …Journal of Aircraft and Spacecraft Technology, Vol. 3, Issue 1 · 22 Nov 2019 · 7,114 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Multi Spectral Band Image Compression using Discrete Wavelet TransformR. Kousalyadevi, S. S. RamakrishnanProblem statement: Efficient and effective utilization of transmission bandwidth and storage capacity have been a core area of research for remote sensing images. Hence image compression is required for multi-band satellite imagery. In addition, image quality is also an important factor after compression and reconstruction. Approach: In this investigation, the discrete wavelet transform is used to compress the Landsat5 agriculture … …Journal of Computer Science, Vol. 8, Issue 5 · 6 Mar 2012 · 7,041 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNeural Network Change Detection Model for Satellite Images Using Textural and Spectral CharacteristicsA. K. Helmy, Gh. S. El-TaweelProblem statement: Change detection is the process of identifying difference of the state of an object or phenomena by observing it at different time. Essentially, it involves the ability to quantify temporal effects using multi-temporal data sets. Information about change is necessary for evaluating land cover and the management of natural resources. Approach: A neural network model based on both … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,156 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNew Schiff Bases with Pyridine Core: Spectral, Thermal and Optical CharacterizationsSie-Tiong Ha, Lay-Khoon Ong, Yip-Foo Win et al.Problem statement: Numerous studies have been conducted on the Schiff base's alkyl and alkyloxy possessing aromatic core. However, the thermo tropic properties of Schiff base's ester (or alkanoyloxy) with pyridine core was rare studied. Approach: To study spectral, thermal and optical behaviors of Schiff base ester possessing heterocyclic (pyridine) terminal core. A series of 4-[(pyridin-3-ylmethylene) amino] phenylalkanoates were prepared and … …American Journal of Applied Sciences, Vol. 7, Issue 5 · 31 May 2010 · 7,464 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image AnalysisHelmi Zulhaidi Mohd Shafri, Affendi Suhaili, Shattri MansorSeveral classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers were compared and evaluated. It was found that ML performed the best followed by ANN, DT and SAM with … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 142,381 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePHENOTYPICAL AND MASS SPECTRAL ASSESSMENT METHODS FOR IDENTIFICATION OF SOME CONTAGIOUS MASTITIS PATHOGENSA. El Behiry, Rasha Nabil Zahran, Eman Marzouk, Musaad Al-DabibMastitis is one of the most economic disease affecting dairy cows worldwide. Identification of mastitis pathogens still depends principally on culture and phenotypical method, which is a difficult and time-consuming. Newly, microbiologists have focused their attention on the use of Mass Spectrometry (MS) for microbial identification, especially Matrix Assisted Laser Desorption Ionization Time-Of-Flight (MALDI-TOF). Therefore, this study was designated to … …Current Research in Microbiology, Vol. 5, Issue 1 · 29 May 2014 · 8,133 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleQuantitative Performance of Spectral Indices in Large Scale Plant Health AnalysisHelmi Zulhaidi Mohd Shafri, Mohanad Saad EzzatProblem statement: Oil palm trees are planted in large scale areas. The detection and mapping of diseases are considered as important for oil palm industry and need a timely detection to control the disease spread. Approach: Vegetation analysis of airborne hyperspectral imagery could be an ideal method to deal with this problem since this data could be acquired on user … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,222 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFourier Series With Spectral and Wave Number DecompositionJung-Hua Chou, Raylin WuIn this study, the generic nature of Fourier series is pointed out and the requirement of dimensional homogeneity for physical systems is emphasized. By suitable application of non-dimensional variables, both time versus frequency and spatial versus wave number decomposition of Fourier series are included properly to put the physics involved into the right physical meanings. Furthermore, the high frequency noise … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,249 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Disease Index Based on Multi-Spectra of UAV to Estimate Cotton DiseaseBing Chen, Jing Wang, Qiong Wang et al.Verticillium wilt is a significant disease that affects cotton plants, which can lead to stunted growth and reduced yield. To address this, a multi-spectral comprehensive monitoring disease index model is developed using an Unmanned Aerial Vehicle (UAV) to monitor the severity of cotton Verticillium wilt. First, multi-spectral dates were collected from Hexacopter (HY-6X) and the phenotype disease grade of cotton … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Mar 2024 · 5,087 accessesView PDFCite