Journal of Korean Society for Geospatial Information Science (대한공간정보학회지)

Korea Spatial Information Society (대한공간정보학회)
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Unsupervised Classification of Landsat-8 OLI Satellite Imagery Based on Iterative Spectral Mixture Model

자동화된 훈련 자료를 활용한 Landsat-8 OLI 위성영상의 반복적 분광혼합모델 기반 무감독 분류

  • Choi, Jae Wan (School of Civil Engineering, Chungbuk National University) ;
  • Noh, Sin Taek (School of Civil Engineering, Chungbuk National University) ;
  • Choi, Seok Keun (School of Civil Engineering, Chungbuk National University)
  • 최재완 (충북대학교 공과대학 토목공학부) ;
  • 노신택 (충북대학교 공과대학 토목공학부) ;
  • 최석근 (충북대학교 공과대학 토목공학부)
  • Received : 2014.08.28
  • Accepted : 2014.09.25
  • Published : 2014.12.31
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Abstract

Landsat OLI satellite imagery can be applied to various remote sensing applications, such as generation of land cover map, urban area analysis, extraction of vegetation index and change detection, because it includes various multispectral bands. In addition, land cover map is an important information to monitor and analyze land cover using GIS. In this paper, land cover map is generated by using Landsat OLI and existing land cover map. First, training dataset is obtained using correlation between existing land cover map and unsupervised classification result by K-means, automatically. And then, spectral signatures corresponding to each class are determined based on training data. Finally, abundance map and land cover map are generated by using iterative spectral mixture model. The experiment is accomplished by Landsat OLI of Cheongju area. It shows that result by our method can produce land cover map without manual training dataset, compared to existing land cover map and result by supervised classification result by SVM, quantitatively and visually.

Landsat OLI 위성영상은 다양한 분광정보 밴드를 포함하고 있기 때문에, 토지피복지도 생성, 도심지역의 분석, 식생지수의 추출, 변화탐지 모니터링 등과 같은 다양한 원격탐사 분야에 활용할 수 있다. 또한, 토지피복지도는 GIS 및 국토 모니터링에 있어서 필수적인 정보이다. 본 연구에서는 Landsat OLI 위성과 기존의 토지피복지도를 활용하여 토지피복지도를 생성하고자 하였다. 이를 위해, 기존의 토지피복지도와 K-means 기법의 상관관계를 활용하여 훈련자료를 자동으로 생성하였으며, 생성된 훈련자료를 이용하여 각 클래스 별 분광 반사율 값을 추정하였다. 최종적으로, 반복적인 분광혼합분석을 통하여 각 클래스 별 점유 비율 영상과 토지피복지도를 생성하였다. 청주시 일대에 대한 토지피복지도와 Landsat OLI 위성영상을 활용한 실험을 수행하였으며, 감독분류 기법에 대한 결과 및 기존 토지피복지도와의 비교평가를 통하여 본 연구에서 제안된 기법이 수동으로 취득한 훈련자료가 없어도 효과적으로 토지피복지도를 생성할 수 있음을 정량적, 시각적으로 확인하였다.

Keywords

References

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