Spectral imaging applications: Remote sensing, environmental monitoring, medicine, military operations, factory automation and manufacturing.

被引:17
作者
Gat, N
Subramanian, S
Barhen, J
Toomarian, NB
机构
来源
EMERGING APPLICATIONS OF COMPUTER VISION - 25TH AIPR WORKSHOP | 1997年 / 2962卷
关键词
imaging spectroscopy; multispectral; hyperspectral; applications; sensors; algorithms; medical imaging; remote sensing; crop monitoring; machine vision; infrared; spectral unmixing; classification; phenomenology;
D O I
10.1117/12.267840
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper reviews the activities at OKSI related to imaging spectroscopy presenting current and future applications of the technology. We discuss the development of several systems including hardware, signal processing, data classification algorithms and benchmarking techniques to determine algorithm performance. Signal processing for each application is tailored by incorporating the phenomenology appropriate to the process, into the algorithms. Pixel signatures are classified using techniques such as principal component analyses, generalized eigenvalue analysis and novel very fast neural network methods. The major hyperspectral imaging systems developed at OKSI include the Intelligent Missile Seeker (IMS) demonstration project for real-time target/decoy discrimination, and the Thermal InfraRed Imaging Spectrometer (TIRIS) for detection and tracking of toxic plumes and gases. In addition, systems for applications in medical photodiagnosis, manufacturing technology, and for crop monitoring are also under development.
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页码:63 / 77
页数:15
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