Title :
Directional noise removal from aerial imagery using wavelet X-ray transform
Author :
Lu, Shijin ; Smith, Walter F. ; Holyer, Ronald J. ; Chan, Andrew ; Liu, Steve J.
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
Oceanographic studies of large bodies of water usually require remotely acquired aerial imagery as the primary data source for analyses of sea bed depth, ocean current, etc. Removal of ocean wave clutters from these images is an important preprocessing step for accurate assessment of the oceanographic information. The objective of this paper is to make use of the wavelet-Radon (X-ray) transform for directional denoising along the propagational direction of ocean waves. Image pixels are projected to the the direction of wave propagation, to be denoised using wavelet thresholding techniques. As expected, the authors´ experiments show that one can remove some amount of wave clutter with the least background distortion when the rotational transform is along the direction of ocean wave propogation
Keywords :
geophysical signal processing; oceanographic techniques; radar clutter; radar imaging; radar signal processing; remote sensing; remote sensing by radar; wavelet transforms; Radon transform; X-ray transform; aerial imagery; directional denoising; directional noise removal; measurement technique; ocean; ocean wave; ocean wave clutter; preprocessing; propagational direction; radar imaging; radar remote sensing; sea surface; signal processing; wavelet thresholding; wavelet transform; Computer science; Continuous wavelet transforms; Data analysis; Ocean waves; Space stations; Water resources; Wavelet transforms; X-ray detection; X-ray detectors; X-ray imaging;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.703733