Image Processing Reference
In-Depth Information
Chapter 9
Processing Techniques for Hyperspectral Data
Patrick Hostert
The basic knowledge about the differences between multi- and hyperspectral data
is provided and the potential of hyperspectral image analysis is highlighted.
Relevant pre-processing steps and different ways to analyze hyperspectral data are
presented. The chapter closes with a short outlook on expected developments with
relevance for urban applications.
Learning Objectives
Upon completion of this chapter, the student should gain an
understanding of:
The principal differences between multi- and hyperspectral data
The need for a dedicated pre-processing of hyperspectral data
Analysis techniques with relevance for urban applications
9.1
Introduction: Hyperspectral Data and Urban Remote
Sensing
Hyperspectral data, often also referred to as
spectral high resolution data
,
imaging
spectrometry data
, or
imaging spectroscopy data
, have been successfully applied in
different fields of terrestrial remote sensing since about 20 years (Goetz et al.
1985
).
However, only recently their value for urban applications has been put forward
P. Hostert (
*
)
Geographical Institute, Humboldt-Universitat zu Berlin, Unter den Linden 6,
Berlin 10099, Germany
e-mail: patrick.hostert@geo.hu-berlin.de
