|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
This course introduces the concepts of quantitative measurement of electromagnetic energy. The basic radiometry terms are introduced using calculusbased defi nitions. Governing equations for source propagation and sensor output are derived. Simple source concepts are reviewed and detector fi gures of merit are introduced and used in problem solving. The radiometric concepts are then applied to simple imaging systems so that a student could make quantitative measurements with imaging instruments. (1016-283, 1017-313) Class 3, Lab 3, Credit 4 (S)
-
4.00 Credits
This course presents an introduction to color perception, measurement, and reproduction. Based upon an understanding of the human visual system, psychophysics, and radiometric measurements and computations, this course explores in more detail the basis of color perception, applies those principles to the measurement of color stimuli, and then explores applications of color science in imaging. (1051-350, 370) Class 4, Credit 4 (F)
-
4.00 Credits
An introduction to the wide range of environmental applications of remote sensing. Systems for detecting physical phenomena and analysis techniques for extracting useful information are described for active and passive sensors operating throughout the electromagnetic spectrum from both airborne and spaceborne sensors. The Earth's atmospheric, hydrospheric and terrestrial processes are examined at a global scale. Application areas studied include monitoring vegetation health, identifying cultural features, assessing water resources, and detecting pollution and natural hazards. (1017-213 or permission of instructor) Class 4, Credit 4 (W)
-
1.00 Credits
Survey of modern imaging techniques in astronomy. Students analyze astronomical imaging systems in terms of the requirements placed on the systems, and the strengths and limitations of each component in the imaging chain. Examples of specifi c techniques covered include optical CCD cameras and spectrometers, X-ray CCD imaging spectroscopy, and radio molecular mapping. (1017-314, 1017-301 also recommended) Class 3, Lab 1, Credit 4 (S)
-
3.00 Credits
This course applies the mathematical and computational skills acquired in previous courses to the analysis and modeling of mean-value, tone propagation though both linear and non-linear imaging systems of both discrete and continuous processes. System modeling techniques will be described based on (a) empirical metrics of system components, (b) underlying physical mechanisms of imaging processes. Modeling of multi-channel systems will emphasize the analysis of inter-image characteristics and the impact of spectral sensitivity on information content in the output image. (1051-211, 1051-320) Class 3, Lab 3, Credit 4 (F)
-
3.00 Credits
This course applies the mathematical and computational skills acquired in previous courses to the analysis and modeling of spatial properties of both linear and non-linear systems of both discrete and continuous processes. Experimental techniques for measuring resolution, MTF, CTF, PSF and LSF of individual and complex systems will be described. These functions will be modeled mathematically for both individual imaging processes and for sequences of linear and non linear processes. Physical mechanisms (including fi nite detectors and sampling, optical turbidity, and electronic time constraints) will be treated mathematically for their impact on MTF. (1051-451) Class 3, Lab 3, Credit 4 (W)
-
3.00 Credits
This course applies the mathematical and computational skills acquired in previous courses to the analysis and modeling of noise and random processes in a sequence of imaging processes. Experimental techniques for measuring noise will be studied and practiced. Noise characteristics of imaging systems will be modeled based on mathematical probability and moment theory. Jacobian operators and Fourier theory will be used to model correlated noise and to propagate noise properties through complex sequences of imaging processes. Practical metrics of noise and signal/noise ratios will be examined for their utility as fi gures of merit for imaging systems. (1051-452, 1016-351) Class 3, Lab 3, Credit 4 (S)
-
4.00 Credits
This course is an introduction to the more advanced concepts of digital image processing. The student will be exposed to image reconstruction, noise sources and techniques for noise removal, information theory, image compression, video compression, wavelet transformations and the basics of digital watermarking. Emphasis is placed on applications and effi cient algorithmic implementation using the IDL programming language. (1051-361) Class 4, Credit 4 (W)
-
4.00 Credits
This course discusses the digital image processing concepts and algorithms used for the analysis of hyperspectral, multispectral and multi-channel data in remote sensing and other application areas. Concepts are covered at the theoretical and implementation level using current, popular commercial software packages and high-level programming languages for examples, homework and programming assignments. The requisite multivariate statistics are presented as an extension of the univariate statistics to which the students have been previously exposed. Topics to be covered will include methods for supervised data classifi cation, clustering algorithms and unsupervised classifi cation, multispectral data transformations, data redundancy reduction techniques, image-to-image rectifi cation, and data fusion for resolution enhancement. (1051-211 or equivalent, 1051-462, 1016-314) Class 4, Credit 4 (S)
-
1.00 Credits
This course provides an overview of the underlying physical concepts, designs, and characteristics of detectors used to sense electromagnetic radiation having wavelengths ranging from as short as X-rays to as long as millimeter radiation. The basic physical concepts common to many standard detector arrays will be reviewed. Some specifi c examples of detectors to be discussed include photomultipliers, microchannel plates, hybridized infrared arrays, PIN detectors, and SIS mixers. The use of detectors in fi elds such as astronomy, high energy physics, medical imaging, and digital imaging will be discussed.(1051-313, 1051-370) Class 3, Demonstration 1, Credit 4 (S)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|