DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
NORTHEASTERN UNIVERSITY
ECEU692
INTRO TO SUBSURFACE SENSING AND IMAGING
SPRING 2004
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INDEX
Note: This course will next be offered in Spring 2006, by
Profs. DiMarzio and Miller. The format and content will be similar to
that on this website. Contact one of us for further information. The
remaining material on this page is all from Spring 2004, when the
course was taught by Profs. DiMarzio and Brooks.
Instructors: This class will be co-taught by
Prof. Charles DiMarzio and Prof. Dana Brooks
- Announcements:
- HW 5 posted below. It is due Friday April 9.
- There will be one more (short) homework related to today's
lecture material, to be assigned very soon and due in about a week.
- The (too few) folks who actually came to class today (Wed Mar 31)
agreed that a reasonable time for our final presentations would be
Thursday April 22, 1 to 3 PM. If there is anyone who can make our
original time (Wed Apr. 21 at 8 AM) and objects to this time we'll
have to look for another time or stay with the assigned one. So
please let Chuck and me know NOW if Thurs. Apr. 22 1-3 is
NOT good for you.
- Check this link to the book by
Kak and Slaley, which is the classic text on standard tomography
(check Chap. 3 in particular for more detail related to today's
lecture) and is available on-line.
- Lecture 15 now posted.
- HW 4 now due on Monday Mar 29 at beginning of class. Updates to
HW 4 posted. This includes
- Additional instructions for doing parts 2 and 3.
- The software and documentation to use for parts 2 and 3.
- An example dataset and singular value plot.
- An m-file for plotting results.
- Revised course schedule as of 8 Mar 04 available
here
WHAT'S HERE:
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- Lecture Notes:
- Lecture 15:
Straight-Ray Tomography , based on previous lectures by Prof. Eric
Miller, available
here in ppt format. Lecture to be presented in class #21, Wed. Mar. 31.
- Lecture 14:
A Brief Reflection available
here in ppt format. Lecture presented in class #20, Mon. Mar. 29.
- Lecture 13:
Inverse Problems available
here in pdf format. Lecture presented in class #16, Mon. Mar. 8
and class #17, Wed. Mar. 17.
- Lecture 12: Diffusive Optical Tomography available
here as a ppt file. We will start on this Wednesday, 25 Feb, and
continue in class #14, Monday March 8 and class #15, Wednesday March 10.
- Lecture 11:
Part 3 of Topics in SSI Linear Algebra available
here in pdf format. Lecture presented in class #12, Mon. Feb. 23
and class #13, Wed. Feb 25.
- Lecture 10: Part 2 of Topics in SSI Linear Algebra available
here in pdf format. We presented in class #10, Wed Feb. 11 and
class #11, Wed Feb.18.
- Lecture 9: Part 1 of Topics in SSI Linear Algebra available
here in pdf format. Lecture presented class in class #10 on
Wed. Feb.11.
- Lecture 8: Intro to Imaging with Light(3): Strong
Scattering available
here in ppt format. Lecture presented class #8, Wed. Feb 4, and class
#9, Mon. Feb. 9
- Lecture 7: Part 3 of Topics in SSI signal and image
processing available
here in pdf format. Lecture presented in class #7, Feb. 2, 2004 and
class #8, Feb. 4, 2004.
- Lecture 6: Part 2 of Topics in SSI signal and image
processing available
here in pdf format. Lecture presented in class #6, Jan. 28, 2004 and
class #7, Feb. 2, 2004.
- Lecture 5: Hyperspectral Imaging Experiments available
here in ppt format. Lecture presented class #5, Monday Jan 26, 2004
along with Lecture 3.
- Lecture 4: Topics in SSI signal and image processing available
here in pdf format. Lecture started in 4th class, Jan 21, 2004,
continued in 6th class, Jan 28, 2004.
- Lecture 3: Hyperspectral Imaging available here
in powerpoint format. Presented in class #5, Monday Jan 26, 2004 along with
Lecture 5..
- Lecture 2: Intro to Imaging with Light available
here in powerpoint format. Lecture given in 2nd and 3rd classes,
Jan 12 and 14, 2004.
- Lecture 1: Intro to Intro to SSI available
here in powerpoint format. Lecture given in first class, Jan 7 2004.
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- Example Matlab Codes
- Prof. Brooks' matlab demo of using overdetermined least squares,
as compared to choosing just 2 wavelengths, for the spectral
unmixing problem of the lab in HW 2 is
here.
- Prof. DiMarzio's convolution demonstration m-file as shown in
lecture on Strong Scattering is here.
- m-file to compute spatial cosines as used in class by Prof. Brooks is here.
- m-file to do crude lowpass filtering in the frequency domain, as used
in class by Prof. Brooks is here.
- Diary file illlustrating use of the above two m-files here.
- m-file to play with swapping magnitude and phase of Fourier Transform
of images, as used in class by Prof. Brooks is here. Note
that it has been modified from the one used in class and lecture notes to
force all colormaps to be gray. If you're interested, try modifying the
file to use it on other images. You can even try to swap magnitude and
phase between images and check the results. One list of places to find
images is
here.
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- Homework and Project Assignments
- Homework 5. There is one problem for this homework, and
the writeup is available here
in pdf format.
- Updated info for Homework 4. There are additional instructions
for completing the second and third parts of Homework 4 here
in pdf format. In addition, you may find the following useful:
- the link to the software and documentation you should use to do
the Born model is here
in gzipped tar format and here
in PC zipfile format.
- a sample dataset as described in the additional instructions is here
as a Matlab .mat file. Please keep in mind that we are making this
data available only so you can checkpoint your own work; you are to
use your own dataset in actually doing the homework you hand in.
- You can see an image of the singular values of one particular
Born matrix at one wavelength
here (it's a jpeg file).
- A m-file Prof. Brooks wrote to display constant depth slices of
a volume, as shown in the example in the additional instructions,
is here.
- Homework 4. There is one problem for this homework, and
the writeup is available here
in pdf format. Note that we will discuss it in class on Wed. Mar. 10,
so please read it before then. Also note it involves a lab session
to take data using the hyperspectral camera. We will be following up
with a posting about the software to use in this assignment, and
there are likely to be some changes and revisions as we work
through doing the assignment with all of you.
- Example problem similar to first part of HW 3 Problem 1 is here
in pdf format.
- Homework 3 This assignment is available here
in pdf format.
You will need the file 10472-3a.zip
, for this assigment. If you used the old version, without the
letter a after the 3, you may have some small trouble.
Due date is by the start of class on Wed. Feb. 25. We
will have a discussion on these problems in class on
Mon. Feb. 23. It will be led by students we choose from the
class, so come prepared to talk about what you do and don't understand
about the problem assigment!
- Homework 2 This assignment is available here in
pdf format. Due date is by the start of class on Wed. Feb. 18. We will have
a discussion on these problems in class on Wed. Feb. 4. It will be led by
students we choose from the class, so come prepared to talk about what you
do and don't understand about the problem assigment!
You will need the same California Band image,
here in tiff format, for one of the problems..
- Homework 1
- Problem descriptions available
here in pdf format.
- Image to use in Problem 2 available
here in tiff format.
- Matlab m-file for playing with that image for Problem 2 available
here in text format.
- Matlab m-file for Problem 3 on Fourier Optics available
here in text format.
- Project assigment available
here in pdf format.
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- Other Links (including syllabus)
- Check this
link to the book by Kak and Slaley, which is the classic text on
standard tomography (check Chap. 3 in particular for more detail
related to our Wed. Mar 31 lecture on straight-ray tomography) and is
available on-line.
- Link to some linear algebra on-line is
here. Note that this was just the 2nd item on a google search
for "kernel linear algebra", there's lots of other good stuff out there.
- Syllabus available
here
- Student Survey: available
here. All students are asked to fill out and return ASAP, either by
email or hardcopy. To fill out and return by email, one way is to just save
the web page as a text file (not an html file, this will make filling it
out easier), fill it out in any word processor or editor, and then attach
the result to an email to both Prof. DiMarzio
and Prof. Brooks.
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