Paper
20 April 2010 Using panchromatic imagery in place of multispectral imagery for kelp detection in water
Author Affiliations +
Abstract
Multispectral imagery (MSI) taken with high-spatial resolution systems provides a powerful tool for mapping kelp in water. MSI are not always available, however, and there are systems which provide only panchromatic imagery which would be useful to exploit for the purpose of mapping kelp. Kelp mapping with MSI is generally done by use of the standard Normalized Difference Vegetation Index (NDVI). In broadband panchromatic imagery, the kelp appears brighter than the water because of the strong response of vegetation in the NIR, and can be reliably detected by means of a simple threshold; overall brightness is generally proportional to the NDVI. Confusion is caused by other bright pixels in the image, including sun glint. This research seeks to find ways of mitigating the number of false alarms using spatial image processing techniques. Methods developed in this research can be applied to other water target detection tasks.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Angela M. Kim, R. Chris Olsen, Krista Lee, and David Jablonski "Using panchromatic imagery in place of multispectral imagery for kelp detection in water", Proc. SPIE 7678, Ocean Sensing and Monitoring II, 767807 (20 April 2010); https://doi.org/10.1117/12.850352
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Multispectral imaging

Clouds

Sun

Image filtering

Vegetation

Image processing

Water

Back to Top