Title :
Noise reduction method for lidar echo data based on multivariate analysis method
Author :
Okumura, Hiroshi ; Sugita, Tadashi ; Matsumoto, Hironori ; Takeuchi, Nobuo
Author_Institution :
Remote Sensing & Image Res. Center, Chiba Univ., Japan
Abstract :
A new noise reduction method for lidar echo data is proposed. This method is based on canonical correlation analysis between two multivariate data groups. GROUP-I dataset includes lidar echo data with lasing and without lasing. GROUP-2 dataset includes moving averaged data of GROUP-1. As the experimental results using both artificial data and actual lidar echo data, the amplitude of noise component in the primary canonical variate of GROUP-1 (result) is reduced more than 30%
Keywords :
atmospheric techniques; geophysical techniques; optical information processing; optical radar; remote sensing; remote sensing by laser beam; air pollution; atmosphere stratosphere measurement technique; canonical correlation analysis; geophysical signal processing; lidar; lidar echo data; multivariate analysis method; noise reduction method; remote sensing laser method; Air pollution; Backscatter; Clouds; Distortion; Laser radar; Monitoring; Noise level; Noise reduction; Physics; Principal component analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322299
