Choudhury, S. ; Mitra, S. (2006) Feature Extraction and Connectionist Classification of SODAR Echograms IEEE Geoscience and Remote Sensing Letters, 3 (1). pp. 19-22. ISSN 1545-598X
Full text not available from this repository.
Official URL: https://doi.org/10.1109/LGRS.2005.854200
Related URL: http://dx.doi.org/10.1109/LGRS.2005.854200
Abstract
Sonic detection and ranging (SODAR) systems are efficient and economical tool to probe the lower planetary boundary layer on a continuous basis. The lower atmospheric patterns (each depicting a different atmospheric condition) recorded by this system can prove to be extremely useful if classified and interpreted correctly. The manual identification of these SODAR patterns is a laborious task and requires considerable expertise. A connectionist system has already been developed by the authors to automate the process to some extent. In this letter, we enhance its generalization of performance, by incorporating feature extraction using the fast Fourier transform. The results are compared with that in earlier work to demonstrate its effectiveness.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronic Engineers. |
| Keywords: | Feature extraction; Acoustic imaging; Fast Fourier transforms; Radar detection; Acoustic signal detection; Artificial neural networks; Biological system modeling; Fractals; Probes; Remote sensing. |
| ID Code: | 140198 |
| Deposited On: | 07 Sep 2025 07:41 |
| Last Modified: | 07 Sep 2025 07:41 |
Repository Staff Only: item control page
