6 April 1998 Unified image computing method for spectral and spatial feature extraction from remotely sensed imagery
Author Affiliations +
Abstract
In this paper, a unified method of image computing for spatial and spectral feature extraction is described. It is named as 'pixel swapping method.' This method facilitates identification of types and features of objects such as point- like objects, line-like objects or region-like objects, and to detect line-start/end points, line intersections and vertices. It is also used to identify spatial association among objects. This method can be extended to non-linear image processing, as well as, the conventional numeric image processing. As an example of application of this method, automated road feature extraction from LANDSAT TM data will be demonstrated, employing fuzzy spectral and spatial image processing using the 'pixel swapping' method.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joji Iisaka, "Unified image computing method for spectral and spatial feature extraction from remotely sensed imagery", Proc. SPIE 3304, Nonlinear Image Processing IX, (6 April 1998); doi: 10.1117/12.304603; https://doi.org/10.1117/12.304603
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Study of the wide area of a lake with remote...
Proceedings of SPIE (August 12 2016)
Urban texture analysis
Proceedings of SPIE (October 30 1997)
Multispectral lines of communication extraction
Proceedings of SPIE (July 08 1994)
Image understanding in the multispectral domain
Proceedings of SPIE (October 20 1993)

Back to Top