고해상도 원격탐사를 이용한 갯벌 표층 퇴적상 분류 연구

Title
고해상도 원격탐사를 이용한 갯벌 표층 퇴적상 분류 연구
Alternative Title
A STUDY ON THE CLASSIFICATION OF THE SURFACE SEDIMENTS IN A TIDAL FLAT BY A HIGH RESOLUTION REMOTE SENSING
Author(s)
최종국; 엄진아; 유주형; 유홍룡; Joong-Sun Won
KIOST Author(s)
Choi, Jong Kuk(최종국)Ryu, Joo Hyung(유주형)
Publication Year
2009-10-29
Abstract
In this study, the applicability of an object-based method to the classification of the surface sediment facies in a tidal flat is tested using IKONOS satellite image, a high spatial resolution remote sensing. Object-based classification method has an advantage of incorporating spatial neighbourhood properties into the classification process, and it may accomplish a more accurate result of classification as compared with pixel-based method. We compared the classification result of object-based method with that of pixel-based maximum likelihood method quantitatively, for Hwangdo tidal flat in Cheonsu Bay, Korea. The overall accuracy and kappa value calculated from the result of the object-based method were 90.7 % and 0.86, respectively, which is relatively higher accuracy than the maximum likelihood. It can be concluded that the object-based approach is a effective tool for the surface sediment classification in a tidal flat.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/29243
Bibliographic Citation
ISRS, pp.239 - 242, 2009
Publisher
대한원격탐사학회
Type
Conference
Language
English
Publisher
대한원격탐사학회
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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