Paper
14 January 2002 Physical phenomena, hyperspectral bands, and metrics for coastal bathymetry
Author Affiliations +
Abstract
This investigation explores how hyperspectral distance metrics may be used as indicators of relative water depth in a coastal region. Spectral reflectance characteristics of near-shore waters imaged by an airborne hyperspectral sensor are examined. Commonly used hyperspectral distance metrics are applied to the data with the goal of distinguishing the spectra derived from various water depths. To improve the separability of the spectra, this study also examines, for one distance metric, the effect of processing only a subset of spectral bands recorded by the sensor. The concept of selecting a subset of bands extends to improving the performance of algorithms that process hyperspectral data for detection, classification, or estimation. An additional benefit is reducing the dimensionality of the dat and, thereby, the computational load. The key to reaching both of these objectives is to understand and match physical processes to appropriate mathematical metrics performance measures in a comprehensive framework. The overall process is driven both by empirical analysis of hyperspectral data and by mathematical examination of the spectra.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jerrold E. Baum, Nirmal Keshava, and Cheryl Jaffe "Physical phenomena, hyperspectral bands, and metrics for coastal bathymetry", Proc. SPIE 4488, Ocean Optics: Remote Sensing and Underwater Imaging, (14 January 2002); https://doi.org/10.1117/12.452817
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reflectivity

Sensors

Distance measurement

Water

Hyperspectral imaging

Data processing

Ocean optics

Back to Top