Title :
Decorrelating remote sensing color bands from bathymetry in optically shallow waters
Author :
Conger, Christopher L. ; Hochberg, Eric J. ; Fletcher, Charles H., III ; Atkinson, Marlin J.
Author_Institution :
Dept. of Geol. & Geophys., Univ. of Hawaii, Honolulu, HI, USA
fDate :
6/1/2006 12:00:00 AM
Abstract :
We have developed a simple technique to decorrelate remote sensing color band data from depth in optically shallow water. The method linearizes color band data with respect to depth by subtracting an optically deepwater value from the entire waveband under consideration and taking the natural logarithm of the result. Next, this linearized waveband is rotated about the model 2 regression line computed against a bathymetry band. The rotated color band is decorrelated from water depth. We demonstrate the technique for a small area of Kailua Bay, Oahu, HI, using Quickbird multispectral and Scanning Hydrographic Operational Airborne Lidar Survey LIDAR data. Results indicate that color band data are effectively decorrelated from depth, while bottom reflector variability is maintained, thus providing the basis for further analysis of the depth-invariant wavebands. The primary benefit of our technique is that wavebands are rotated independently, preserving relative spectral information.
Keywords :
bathymetry; oceanographic regions; oceanographic techniques; optical radar; radiative transfer; remote sensing; underwater optics; Kailua Bay; Quick-bird multispectral images; Scanning Hydrographic Operational Airborne Lidar Survey; bathymetry; bottom reflector variability; coastal remote sensing; linearized waveband; optically shallow water; radiative transfer; reflectance; remote sensing color band; rotated color band; water depth; Biology; Biomedical optical imaging; Decorrelation; Geoscience; Laser radar; Marine technology; Oceans; Optical scattering; Optical sensors; Remote sensing; Bathymetry; Kailua Bay; LIDAR; Quickbird; coastal remote sensing; radiative transfer; reflectance;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2006.870405