멀티빔 음압자료를 이용한 저질분류

Title
멀티빔 음압자료를 이용한 저질분류
Alternative Title
Seabed Classification Using Multibeam Echosounder Backscattering Data
Author(s)
김영택; 이은일; 박요섭; 권광석
KIOST Author(s)
Park, Yo Sup(박요섭)
Alternative Author(s)
박요섭
Publication Year
2009-05-01
Abstract
To develop an automatic software which can remotely classify the seabed sediment type using multibeam echosounder backscatter data, a supervised classification method is implemented, which is composed of both PCA (Principal Component Analysis) for classifying the extracted pixels from the backscatter data and RGA (Regional Growing Algorithm) for clustering the selected pixels. Although basic technologies, such as acoustic and ground truth data acquisition, data processing and classification strategy, were independently achieved, the classification accuracy needs to be increased using geoacoustic studies and sediment texture-based classification methods.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/29540
Bibliographic Citation
2009년도 한국마린엔지니어링학회 전기학술대회 논문집, pp.1, 2009
Publisher
한국마린엔지니어링학회
Type
Conference
Language
Korean
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse