534
September 2018
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
BOOK
REVIEW
though the type on some pages of your reviewer’s copy was
faint. The price is reasonable for such a significant work and
both hardback and e-book versions are available. Neverthe-
less, there are shortcomings. Modest editing work could have
made the narrative clearer in many cases. The numerous ini-
tialisms and acronyms throughout the book would be more
accessible if they were tabulated at the very beginning; this
addition, plus more cross-referencing, especially to chapter 5,
would avoid repetition – the author defines or described spec-
tral angle mapping on multiple occasions. More importantly,
large parts of the book consist predominantly of syntheses of
research. Certainly, these are useful and well crafted, but pro-
spective readers are likely to infer from the title that this is a
textbook, which must teach, not just review research. There
are no worked examples – the author could have subjected a
small selection of data sets to a range of processing workflows
and examined the results. There are no questions for students
to tackle nor, as far as your reviewer could determine, a com-
panion website. There is no concluding chapter, assessing, for
example, the maturity of the science. Has hyperspectral re-
mote sensing become a standard technique? Is it used routinely
by commercial mapping companies and government mapping
agencies? Or is it still predominantly a research tool, appear-
ing mainly in peer-reviewed journals? What are the current
directions of development in hardware and software? What is
the role of fresh approaches such as deep learning? Several
of the author’s examples mention fusion of hyperspectral data
with other sources, for example, data frommultispectral, lidar,
synthetic aperture radar sensors or GIS databases, but some
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conclusions or guidelines would help. Photogrammetrists, of
course, would relish more material on sensor models, orthorec-
tification, and mosaicking! The book is noteworthy owing to its
broad, skillful coverage of hyperspectral remote sensing, but
it will work best as a teaching tool when readers are already
well versed in remote sensing and want to advance into the
hyperspectral, or are willing to dip into complementary texts
as they study.
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