Chapter 7
Integrated LiDAR and Hyperspectral
Jennifer M. Wozencraft and Joong Yong Park
Abstract Integrating LiDAR data and hyperspectral imagery is an area of active
research in remote sensing, inclusive of application for coastal and coral reef
mapping. These two technologies can be combined in a number of different ways,
and at a number of stages of processing to produce benthic classification maps.
This chapter introduces the concept of data fusion, presents a data fusion model,
and describes the different ways in which LiDAR and hyperspectral data can be
integrated for benthic mapping. Examples are presented to first demonstrate data
fusion during the preprocessing stage prior to classification, followed by data
fusion performed during processing and classification. The chapter concludes with
examples of how classification maps derived from LiDAR data and hyperspectral
imagery individually can be combined in a postprocessing high-level fusion
approach to produce an integrated benthic classification map.
7.1 Introduction
The concept of integrating LiDAR data with hyperspectral imagery for benthic
mapping has been percolating in the coastal remote sensing community for nearly
two decades. Early attempts primarily took advantage of the water depth
J. M. Wozencraft (&)
Joint Airborne lidar Bathymetry Technical Center of Expertise, Coastal and Hydraulics
Laboratory, U.S. Army Corps of Engineers, Engineer Research and Development Center,
7225 Stennis Airport Road, Suite 100, Kiln, MS 39556, USA
e-mail: jennifer.m.wozencraft@usace.army.mil
J. Y. Park
Optech, Inc, 7225 Stennis Airport Road, Suite 300, Kiln, MS 39556, USA
e-mail: joongyongpark@optech.com
J. A. Goodman et al. (eds.), Coral Reef Remote Sensing,
DOI: 10.1007/978-90-481-9292-2_7,
Ó Springer Science+Business Media Dordrecht 2013
175
Integrated LiDAR and Hyperspectral
Jennifer M. Wozencraft and Joong Yong Park
Abstract Integrating LiDAR data and hyperspectral imagery is an area of active
research in remote sensing, inclusive of application for coastal and coral reef
mapping. These two technologies can be combined in a number of different ways,
and at a number of stages of processing to produce benthic classification maps.
This chapter introduces the concept of data fusion, presents a data fusion model,
and describes the different ways in which LiDAR and hyperspectral data can be
integrated for benthic mapping. Examples are presented to first demonstrate data
fusion during the preprocessing stage prior to classification, followed by data
fusion performed during processing and classification. The chapter concludes with
examples of how classification maps derived from LiDAR data and hyperspectral
imagery individually can be combined in a postprocessing high-level fusion
approach to produce an integrated benthic classification map.
7.1 Introduction
The concept of integrating LiDAR data with hyperspectral imagery for benthic
mapping has been percolating in the coastal remote sensing community for nearly
two decades. Early attempts primarily took advantage of the water depth
J. M. Wozencraft (&)
Joint Airborne lidar Bathymetry Technical Center of Expertise, Coastal and Hydraulics
Laboratory, U.S. Army Corps of Engineers, Engineer Research and Development Center,
7225 Stennis Airport Road, Suite 100, Kiln, MS 39556, USA
e-mail: jennifer.m.wozencraft@usace.army.mil
J. Y. Park
Optech, Inc, 7225 Stennis Airport Road, Suite 300, Kiln, MS 39556, USA
e-mail: joongyongpark@optech.com
J. A. Goodman et al. (eds.), Coral Reef Remote Sensing,
DOI: 10.1007/978-90-481-9292-2_7,
Ó Springer Science+Business Media Dordrecht 2013
175