Real-time Web-based Hyperspectral Data Viewing and Modeling (original) (raw)
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Real-time web-based hyperspectral data viewing and control
2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2011
There is much interest in hyperspectral data in multiple disciplines. The analyzed samples can vary from plants and agricultural products, to algae, coral and metals. A Hyperspectral Imaging System (HIS) has been set up and used to capture hyperspectral images from various samples in the 400-1000 nm spectral region. The system consists of an imaging spectrometer attached to a CCD camera with a fiber optic light source as the illuminator. The LabVIEW-based software is used to interface with the system, to collect and display the data. The significance of this system is its capability to capture 3D spectral and spatial data that can be analyzed to extract both conceptual and spectral information about the underlying samples. The challenge with this data remains with the large data size and time-intensive data processing of hyperspectral image cubes, which can be in the order of gigabytes if collected at full resolution.
Development and Implementation of Software Systems for Imaging Spectroscopy
2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
Specialized software systems have played a crucial role throughout the twenty-five year course of the development of the new technology of imaging spectroscopy, or hyperspectral remote sensing. By their very nature, hyperspectral data place unique and demanding requirements on the computer software used to visualize, analyze, process and interpret them. Often described as a marriage of the two technologies of reflectance spectroscopy and airborne/spaceborne remote sensing, imaging spectroscopy, in fact, produces data sets with unique qualities, unlike previous remote sensing or spectrometer data. Because of these unique spatial and spectral properties hyperspectral data are not readily processed or exploited with legacy software systems inherited from either of the two parent fields of study. This paper provides brief reviews of seven important software systems developed specifically for imaging spectroscopy.
A framework for storage, visualization and analysis of multispectral data
In this paper we describe our database centered workflow for acquisition, enrichment, long-term storage and webbased analysis of multi-and hyperspectral image data and measurement metadata. We propose a standardized way of storing large amounts of measurement data using a hybrid approach consisting of a relational database and direct file access through a common data access layer. Data import and export is performed by either using proprietary file formats like ENVI or by using an universal XML-based data format. To allow preview and analysis of image data, a web-based application has been developed which supersedes the need for client-side installation of tools like MATLAB to perform spectral or spatial analysis of the data while still allowing third-party applications to retrieve data from the database to perform in-depth analysis like automated filter design. Successful implementation of the workflow is demonstrated by the example of rapid application development for mineral sorting.
Developing Web-Enabled Spectral Library Architecture Using Free and Open Source Software (Foss)
Hyperspectral remote sensing offers narrow bands which provide immense potential to improve quantitative retrieval of geophysical or biochemical information of earth features. In order to utilize the potential of hyperspectral data, spectral library is a prerequisite. Spectral signatures collected in various researches studies even if archived remain unavailable for others researchers. Moreover, spectral libraries are developed using costly proprietary software tools. Therefore, development of a web-assessible spectral data archive using free and open source softwares (FOSS) is necessary. Spectral library is a collection of spectral signatures of targets using spectroradiometers. This study focuses on development of a web-enabled spectral library architecture for online spectral archiving, cataloguing metadata information, spectral tools development and visualization of archived spectra. The developed tool is named as "SpecVizPro" denotes Spectral Data Archival, Visualization and Analysis Environment. SpecVizPro is a three tier architecture in which database layer handles the storage of spectral data and metadata information, application layer handles the communication of spectral database to web interface, internet layer handles the client user input to the web interface. Various combination of open source programming languages such as cascading style sheets (CSS) for style the web pages, hypertext markup language (HTML) for structured web pages creation, javascript for standard interface creation to client users, jQuery for handling events and perform animations was implemented. PostGreSQL, a relational database system, was used as spectral database for storing spectral data and metadata information. SpecVizPro provides utilities for analysis of archived spectra such as averaging, resampling, spectral matching, calculation of red-edge and a range of others spectral indices. SpecVizPro is developed at low cost, and is easily customizable in nature. The developed architecture can be used for spectral data administration, and stored spectra may serve as a reference database for characterization of earth surface targets.
DEVELOPING A VIRTUAL SPECTROPHOTOMETER USING WEB LANGUAGES
IJTRET, 2022
In this project we have developed a virtual spectrophotometer in which the color measurements can be done without the use of hardware devices. This project tends to virtually calculate the color values with the given input and will provide the precise output of the respective experiment that is performed by the end-user. We have implemented five parameters and they are Automatic density, Density CMYK, Dot area, Trapping, and Print Curve. By this, our project will give a pace of experiencing a spectrophotometer with the color values of the printed sample virtually. Hence this virtual platform will give a deep knowledge regarding the working of a spectrophotometer to the user before hand of using the manual spectrophotometer.
ISPRS Journal of Photogrammetry and Remote Sensing, 2002
The administration of spectral remote sensing data is a key factor for thorough, comparative analyses which take into account the entire information available to the investigator. Today, a great variety of spectrometers operate in the field, giving rise to a strong heterogeneity in data and meta-data formats. For a holistic view on these data, a spectrum database must adhere to certain principles: independence of file format, flexibility to attribute changes, establishment of relations between data, content-based search capability, common interfaces and scalability. SPECCHIO as a Web-accessible spectrum database represents a new approach that incorporates the mentioned principles and overcomes the drawbacks of file-based solutions. It is based on a relational data model and provides a prototype that accounts for the complexity of heterogeneous spectral data. SPECCHIO can be used for administration and storage purposes, as well as for online data inspection. It may also serve as a reference database for the characterization of Earth surface targets. D
A Web-Based Virtual Laboratory for Satellite Image Processing and Analysis
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
With continuous increase in the utilization of satellite images in various engineering and science fields, it is imperative to equip students with additional educational aid in subject of satellite image processing and analysis. In this paper a web-based virtual laboratory, which is accessible via internet to anyone around the world with no cost or constraints, is presented. Features of the laboratory has been discussed in addition to details regarding system architecture and its implementation. Virtual laboratory is tested by students, whose responses are also presented in this paper. Future development of this laboratory is outlined in the end.
Laboratory Hyperspectral Image Acquisition System Setup and Validation
Sensors, 2022
Hyperspectral Imaging (HSI) techniques have demonstrated potential to provide useful information in a broad set of applications in different domains, from precision agriculture to environmental science. A first step in the preparation of the algorithms to be employed outdoors starts at a laboratory level, capturing a high amount of samples to be analysed and processed in order to extract the necessary information about the spectral characteristics of the studied samples in the most precise way. In this article, a custom-made scanning system for hyperspectral image acquisition is described. Commercially available components have been carefully selected in order to be integrated into a flexible infrastructure able to obtain data from any Generic Interface for Cameras (GenICam) compliant devices using the gigabyte Ethernet interface. The entire setup has been tested using the Specim FX hyperspectral series (FX10 and FX17) and a Graphical User Interface (GUI) has been developed in order...
Web-Enabled Remote Scientific Environments
Computing in Science and Engineering, 2009
A new approach to developing Web-enabled environments for remote diagnostics, maintenance, and experimentation in engineering is based on a middleware layer that uses a Java-lntemet-Labview server to provide communication between Java programs and Labview virtual instruments. The authors illustrate their technique by applying it to the development of a complete Web-enabled application for remote control of a thermal process.
Sensors, 2007
User-driven requirements for remote sensing data are difficult to define, especially details on geometric, spectral and radiometric parameters. Even more difficult is a decent assessment of the required degrees of processing and corresponding data quality. It is therefore a real challenge to appropriately assess data costs and services to be provided. In 2006, the HYRESSA project was initiated within the framework 6 programme of the European Commission to analyze the user needs of the hyperspectral remote sensing community. Special focus was given to finding an answer to the key question, "What are the individual user requirements for hyperspectral imagery and its related data products?". A Value-Benefit Analysis (VBA) was performed to retrieve user needs and address open items accordingly. The VBA is an established tool for systematic problem solving by supporting the possibility of comparing competing projects or solutions. It enables evaluation on the basis of a multidimensional objective model and can be augmented with expert's preferences. After undergoing a VBA, the scaling method (e.g., Law of Comparative Judgment) was applied for achieving the desired ranking judgments. The result, which is the relative value of projects with respect to a well-defined main objective, can therefore be produced analytically using a VBA. A multidimensional objective model adhering to VBA methodology was established. Thereafter, end users and experts were requested to fill out a Questionnaire of User Needs (QUN) at the highest level of detail-the value indicator level. The end user was additionally requested to report personal preferences for his particular research field. In the end, results from the experts' evaluation and results from a sensor data survey can be compared in order to understand user needs and the drawbacks of existing data products. The investigation-focusing on the needs of the hyperspectral user community in Europe-showed that a VBA is a suitable method for analyzing the needs of hyperspectral data users and supporting the sensor/data specification-building process. The VBA has the advantage of being easy to handle, resulting in a comprehensive evaluation. The primary disadvantage is the large effort in realizing such an analysis because the level of detail is extremely high.