Discover Your Island University

Graduate Projects


Project ID: 381
Author: Linh Manh Pham
Project Title: Real-time Web-based Hyperspectral Data Viewing and Modeling
Semester: 1 2011
Committe Chair: Dr. Mario Garcia
Committee Member 1: Dr. Ruby Mehrubeoglu (Co-Chair)
Committee Member 2: Dr. David Thomas
Project Description: 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. This report describes interfacing the HIS with the Internet through NI LabVIEW and related programs so that the system can be controlled remotely and the data can be viewed real-time and on-line by individuals who are part of a research project but who are not in the lab. The information provided by the system can then be used to calculate the spatial, spectral and optical properties of the samples by applying mathematical methods. For these goals, a model which supports remote acquisition and analysis of hyperspectral image has been proposed with the Web-based LabVIEW interface using the NI Internet Toolkit and NI Web UI Builder. By this interface, authenticated users can access and control the HIS system remotely. Experimental results are stored in a FTP server which serves the purposes of querying analyzed data and viewing the images from the Internet to avoid downloading limitations of large datasets.
Project URL:   381.pdf