PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
February 2020
77
BOOK
REVIEW
Signals and Images: Advances
and Results in Speech, Estimation,
Compression, Recognition, Filtering, and
Processing
Rosângela Fernandes Coelho, Vitor Heloiz
Nascimento, Ricardo Lopes de Queiroz, João
Marcos Travassos Romano, Charles Casimiro
Cavalcante
CRC Press, 2017. ISBN 9781138893016 - CAT# K32817
Review by
Melissa J. Rura-Porterfield, Ph.D.
An email from my point of contact at
CRC Press just arrived in my mailbox.
“Dear Melissa, We have these titles … your journal
might be interested in reviewing… Kind Regards,
Hard-working CRC Press Employee”
[A confession: at times, I have judged a book by its cover or
title] – I consented to have the journal review “Signals and Im-
ages” without much thought, so much of what we do in Remote
Sensing is the manipulation of the encoded signal displayed as
images. Every image is signal, every bit of image processing is
statistical or model-driven manipulations of encoded signal,
this should be a straightforward review. A reviewer had been
chosen, the review lined up and the book sent but then all that
fell apart and the book languished on my desk for nearly 2
years.
The book,
“Signals and Images”
, consists of five parts: Part
1—Theory and Methods; Part 2—Acoustic Signal Process-
ing; Part 3—Image Processing; Part 4—Signal Processing in
Communications; Part 5—Selected Topics in Signal Process-
ing. The review was never supposed to tackle the entire broad
spectrum of signal processing addressed by the book’s many
contributors to this 598 page edited volume. The review for
the journal was to be much more manageable, only concerning
itself with Part 1—Theory and Methods and Part 3—Image
Processing.
Enough languishing, I thought, sitting at my desk, a review
must be written. Thinking about an image interpretation un-
dergraduate classroom, I sat in many years ago. Seeing the
“checklist” our professor had given us which included as many
boxes about “bits
1
” and “brooms
2
” to check as it did “season”
and “sun-angel
3
” – the words echoing in my head time and
again to remember to ask, where the image came from [i.e.,
how the signal was captured/encoded] and what has happened
to the signal since then, [i.e., how has it been processed since
encoding]. This reviewer endeavors to plunge into signals
headfirst, hoping to find friendly sensors and algorithms. A
small aside, our image interpretation professor was as much
concerned with the technical underpinnings of how an image
was captured as what one might discern by looking at the out-
put of the capture.
Part 1—Theory and Models
which includes Chapter 1 on
blind source separation [independent component separation];
Chapter 2 on kernel-based non-linear signal processing; Chap-
ter 3 on arithmetic transformed methods for trigonometric
discrete transforms and finally Chapter 4 on agent modeling.
Coming from a perspective in Remote Sensing, used to texts
like
Remote Sensing: The Quantitative Approach
among others
[
4, 5, 6, 7, 8
] that tend to emphasize signal processing for geomet-
ric correction, signal variance under atmospheric conditions,
or signal encoding for specific sensor platforms, particularly
for moving or orbiting platforms, this section sort of left this
Bing!
1 Quantization levels [from the check list including: IFOV at nadir;
Data Rate; Quantization levels; Earth coverage; Altitude; Swath
Width; Inclination]
2 Sensor Technology [Frame, Push Broom; Whiskbroom…]
3 Remote Sensing and Image Interpretation, 7th Edition by Thomas
Lillesand, Ralph W. Kiefer, Jonathan Chipman
4 Introductory Digital Image Processing by John R. Jensen
5 Pattern Classification by Richard O. Duda, Peter E. Hart, David G.
Stork
6 Remote Sensing: The Image Chain Approach by John R. Schott
7 Introduction to Modern Photogrammetry by Edward M Mikhail,
James Bethel, Chris McGlone
8 Remote Sensing: The Quantitative Approach by P. H. Swain (Editor),
Shirley M. Davis (Editor)
Photogrammetric Engineering & Remote Sensing
Vol. 86, No. 2, February 2020, pp. 77–78.
0099-1112/20/77–78
© 2020 American Society for Photogrammetry
and Remote Sensing
doi: 10.14358/PERS.86.2.77
