scholarly journals Hydat-A Hyperspectral Data Processing Tool for Field Spectroradiometer Data

Author(s):  
S. Singh ◽  
D. Dutta ◽  
U. Singh ◽  
J. R. Sharma ◽  
V. K. Dadhwal

A hyperspectral data processing tool "HyDAT" has been developed in MATLAB environment for processing of Field Spectroradiometer data for vegetation studies. Several basic functions e.g. data visualization, pre-processing, noise removal and data transformation and features like automatic absorption feature recovery and their characterization have been introduced. A new concept of spectral geometry has been included as a separate module which is conceptualized as triangle formed over spectral space joining the vertices of green reflectance peak, red well and inflection point and is extremely useful for vegetation health analysis. A large variety of spectral indices both static and dynamic, have been introduced which is useful for remote estimation of foliar biochemicals. Keeping in view the computational requirement, MATLAB was used in the programming environment. It has various in-built functions for statistical and mathematical analysis, signal processing functions like FFT (Fast Fourier Transform), CWT (Continuous Wavelet Transform), direct smoothing function for moving average, Savitzky-Golay smoothing technique, etc. which can be used with ease for the signal processing and field data analysis. FSF (Field Spectroscopy Facility) Post processing Toolbox can also be freely downloaded and can be used for the direct importing and pre-processing of Spectroradiometer data for detector overlap correction, erroneous water band removal and smoothing. The complete package of the software has been bundled for standalone application of shared libraries with additional files for end users. The software is powered by creation of spectral library and customized report generation. An online help menu guides the user for performing different functions. The tool is capable of reducing the time required for processing field based hyperspectral data significantly and eliminate the need for different software to process the raw data and spectral features extraction.

2015 ◽  
Vol 14 (12) ◽  
pp. 5088-5098 ◽  
Author(s):  
Bas C. Jansen ◽  
Karli R. Reiding ◽  
Albert Bondt ◽  
Agnes L. Hipgrave Ederveen ◽  
Magnus Palmblad ◽  
...  

2021 ◽  
Vol 8 (2) ◽  
pp. 136
Author(s):  
Diah Wijayanti ◽  
Sunarto Ade Irawan ◽  
Eko Haryadi ◽  
Yuli Komalasari ◽  
Dede Mustomi

Abstrak: Citra MJ merupakan perusahaan yang mempunyai suatu usaha   penjualan berupa pakaian. Dimana Citra MJ dalam proses usahanya masih terkendala dalam hal pengelolaan data. Selain itu sistem pembayaran transaksi yang dilakukan oleh kasir masih bersifat manual sehingga menyebabkan banyak waktu yang terbuang. Sistem yang masih manual dalam pengelolaan data menyebabkan kasir kesulitan dan membutuhkan waktu yang lama dalam mencari data produk, data pelanggan maupun data transaksi.  Karena itu untuk mempermudah hal tersebut toko Citra MJ membuat pengolahan data dan pembuatan laporan administrasi sistem kasir, Toko Citra MJ memanfaatkan penggunaan teknologi salah satunya penggunaan teknologi komputer dengan membuat perancangan aplikasi program kasir untuk toko Citra MJ. Tujuan dari perancangan program ini adalah membantu kegiatan kasir dalam hal pengolahan data seperti pengolahan data produk, data pegawai, data transaksi, data pelanggan serta pembuatan laporan di toko MJ. Aplikasi program ini sementara ini di peruntukkan untuk kasir saja ke depannya tidak menutup kemungkinan mengembangkan menjadi aplikasi yang berbasis web. Sistem kasir ini menggunakan metode waterfall, yang mana metode ini dilakukan secara berurut mulai dari analisa, rancangan, pengkodean, pengujian sampai implementasi. Dalam perancangan program kasir di toko MJ bahasa pemrograman yang digunakan adalah java, database xampp dengan software pendukung adalah NetBeans IDE 8.1. Dengan melihat dari hasil pengujian yang menggunakan metode kuisioner diperoleh tngkat kepuasaan pengguna aplikasi program kasir sebesar 82,12 %, hal ini berarti bahwa pengguna sangat puas dengan aplikasi program kasir.   Kata kunci: program kasir, rancangan program   Abstract: Citra MJ is a company that has a sales business in the form of clothing. Where Citra Mj in its business process is still constrained in terms of data management. In addition, the payment system for transactions carried out by the cashier is still manual, causing a lot of wasted time. The system that is still manual in data management causes cashiers to have difficulty and takes a long time in finding product data, customer data and transaction data. Therefore, to make this easier, the Citra Mj store makes data processing and makes administrative reports for the cashier system, the Citra Mj store utilizes One of the uses of technology is the use of computer technology by designing a cashier program application for the Citra MJ store. The purpose of this program design is to assist cashier activities in terms of data processing such as product data processing, employee data, transaction data, customer data and report generation. This program application is currently intended for cashiers only, in the future it is possible to develop it into a web-based application. This cashier system uses the waterfall method, where this method is carried out sequentially starting from analysis, design, coding, testing to implementation. In designing the cashier program at the Mj store the programming language used is java, the xampp database with supporting software is NetBeans IDE 8.1. By looking at the test results using the questionnaire method, the level of user satisfaction of the cashier program application is 82.12%, this means that the user is very satisfied with the cashier program application.   Keywords: cashier program, program design


2020 ◽  
Vol 20 (2) ◽  
pp. 129-132
Author(s):  
Vugar Abdullayev ◽  
N.A. Ragimova N.A ◽  
V.H Abdullayev ◽  
T.K Askerov

The objects of the research are tools that support the description and analytical processing of environmental data requests. These tools are used for environmental monitoring. Analytical processing of environmental data is necessary for this monitoring by the persons concerned. Here, a star schema is used to describe the data. Analytical data processing tools are required for analysis and research of environmental data. The results of analytical processing of environmental data are used to speed up decision-making. This article also describes the structure of the analytical data processing tool. Therefore, one of the problem points is how to describe the data. For this purpose, an environmental data relay scheme is defined, and the data description is implemented in multidimensional cubes. Due to the growth of data volume, data processing is carried out using multi-dimensional visualization methods. In addition, a visual user interface has been created for analytically processing queries based on scale data. The result of this research is to find a method for describing environmental data. At the end of the research, a hypercube was obtained, with the help of which it was possible to structure environmental data and carry out analytical processing of them. To this end, environmental data have been described using a multi-dimensional visualization method. And OLAP technologies were used to carry out analytical processing of this data. OLAP technologies allow aggregate data to be used and presented as a hypercube. The results of the research can be used as a basis for an environmental information system that is used for environmental monitoring.


2000 ◽  
pp. 469-470
Author(s):  
Cottenceau Bertrand ◽  
Lhommeau Mehdi ◽  
Hardouin Laurent ◽  
Boimond Jean-Louis

Author(s):  
Eugene N. Bruce

Medical and biological analysis refers to the engineering methods of signal processing as applied to measurements from human subjects, with the purpose of defining the differences between normal and pathological signals, in order to detect the presence of a disease process or detect changes in the status of a patient associated with treatment. As such, the focus of this chapter is on the identification of the sources of biomedical signals and their classification. This is followed by a historical background with emphasis on clinical applications and early quantitative and engineering approaches. Subsequently, the chapter presents classical engineering methods addressing signals in one dimension, focusing on traditional signal processing methods. It then describes some contemporary engineering approaches to medical and biological analysis, and concludes by addressing filters and noise removal and signal compensation.


Sign in / Sign up

Export Citation Format

Share Document