Terrain Classification in Urban Wetlands with High-spatial Resolution Multi-spectral Imagery
Van Dyke, Eric
MetadataShow full item record
The Elkhorn Slough area is a major wildlife reserve, and important wetlands area along the central coast of California. As part of the ongoing study of the slough, accurate classifications of the regions in the slough and its watershed are needed. The objective of this work was to use the 4-m spatial resolution, 4-color sensor on the IKONOS satellite. A manually constructed classification map was used to train the spectral classifiers. As the work evolved, a problem emerged due to the relatively high spatial resolution. Regions of interest such as oak woodlands have highly variable spectral elements when observed at high spatial resolution. As a consequence, the refinement of the regions of interest obtained from the original classification map required not only the elimination of erroneous spectral elements; but also required inclusion of a range of spectra, as opposed to the traditional approach of selecting pure exemplars. Modest success was obtained from the classification effort. As a consequence, additional virtual bands were created by constructing texture features from the higher spatial resolution panchromatic band. This enabled spectrally similar classes such as trees and cultivated fields to be distinguished.
Sensors, Systems, and Next Generation Satellites VI, Proceedings of the SPIE, Vol. 4881, page 686, edited by H. Fujisada, J. Lurie, M. Atne, & K. Weber, 2003.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Showing items related by title, author, creator and subject.
Garner, Jamada J. (Monterey California. Naval Postgraduate School, 2002-06);Spectral imagery has traditionally been an important tool for terrain categorization (TERCAT). High-spatial resolution (8-meter), 4-color MSI data from IKONOS provide a new tool for scene classification. The utility of ...
Humphrey, Matthew Donald (Monterey, California. Naval Postgraduate School, 2003-06);Terrain classification is studied here using the tool of texture analysis of high-spatial resolution panchromatic imagery. This study analyzes the impact and effectiveness of texture analysis on terrain classification ...
Joung, Sang Ki; Song, Kwang Sub; Kim, Moon Hwan; Chu, Peter (2018-04-18);Threats of sea mines are increasing due to recent technology development, such as autonomous systems and computer systems with artificial intelligent capability. There are many solutions to solve MCM problems as far as ...