Translator Disclaimer
Paper
10 June 2005 Image normalization using the serpentine forward-backward filter: application to high-resolution sonar imagery and its impact on mine detection and classification
Author Affiliations +
Abstract
In high-resolution sonar imagery, large variations in image background can make it difficult to reliably find targets. These variations result from irregular illumination of the sea floor, which is caused by sonar platform motion. Contributing to this problem is the fact that the spatial frequencies of the varying background can be similar to those of the target. Consequently, image-processing methods that attempt to segment image regions associated with target highlight (or shadow), are often fooled by bright (or dark) target-size patches of background. This typically results in an increase of the number of false alarms. This paper describes two image normalization methods: the Cross-Range Forward-Backward filter and the Serpentine Forward-Backward filter. Results are presented that show the impact of the image normalization on reducing false alarms.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerald J. Dobeck "Image normalization using the serpentine forward-backward filter: application to high-resolution sonar imagery and its impact on mine detection and classification", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); https://doi.org/10.1117/12.602878
PROCEEDINGS
11 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top