Browse > Article
http://dx.doi.org/10.7780/kjrs.2011.27.4.435

Hierarchical Land Cover Classification using IKONOS and AIRSAR Images  

Yeom, Jun-Ho (Department of Civil and Environmental Engineering, Seoul National University)
Lee, Jeong-Ho (Department of Civil and Environmental Engineering, Seoul National University)
Kim, Duk-Jin (School of Earth and Environmental Sciences, Seoul National University)
Kim, Yong-Il (Department of Civil and Environmental Engineering, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.27, no.4, 2011 , pp. 435-444 More about this Journal
Abstract
The land cover map derived from spectral features of high resolution optical images has low spectral resolution and heterogeneity in the same land cover class. For this reason, despite the same land cover class, the land cover can be classified into various land cover classes especially in vegetation area. In order to overcome these problems, detailed vegetation classification is applied to optical satellite image and SAR(Synthetic Aperture Radar) integrated data in vegetation area which is the result of pre-classification from optical image. The pre-classification and vegetation classification were performed with MLC(Maximum Likelihood Classification) method. The hierarchical land cover classification was proposed from fusion of detailed vegetation classes and non-vegetation classes of pre-classification. We can verify the facts that the proposed method has higher accuracy than not only general SAR data and GLCM(Gray Level Co-occurrence Matrix) texture integrated methods but also hierarchical GLCM integrated method. Especially the proposed method has high accuracy with respect to both vegetation and non-vegetation classification.
Keywords
AIRSAR; data fusion; GLCM; hierarchical classification; IKONOS; land cover map; multi-sensor data; vegetation classification;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Amarsaikhan, D. and T. Douglas, 2004. Data fusion and multisource image classification, International Journal of Remote Sensing, 25(17): 3529-3539.   DOI   ScienceOn
2 Ban, Y., 2003. Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops, Canadian Journal of Remote Sensing, 29(4): 518-526.   DOI
3 염준호, 김덕진, 김용일, 2011. 고해상도 위성영상과 SAR 영상의 데이터 융합을 통한 토지 피복 분류 정확도 개선, 대한원격탐사학회 춘계학술대회, 14: 422-427.
4 이기원, 유영철, 송무영, 사공호상, 2002. Landsat 7 ETM+와 KOMPSAT EOC 영상 자료를 이용한 다중 분해능 영상 분류결과와 토지이용현황 주제도 대비 분석, 한국GIS학회지, 10(2): 331-343.
5 이상훈, 2003. 퍼지 클래스 벡터를 이용하는 다중센서 융합에 의한 무감독 영상분류, 대한원격탐사학회지, 19(4): 329-339.   DOI
6 Lobo, A., O. Chic, and A. Casterad, 1996. Classification of Mediterranean crops with multisensor data: Per-pixel versus per-object statistics and image segmentation, International Journal of Remote Sensing, 17(12): 2385-2400.   DOI   ScienceOn
7 김용민, 박완용, 어양담, 김용일, 2010. 다중센서와 GIS 자료를 이용한 접근불능지역의 토지피복 분류, 한국측량학회지, 28(5): 493-504.
8 Haralick, R. M., K. Shanmugan, and I. Dinstein, 1973. Textural features for image classification, IEEE Transactions on Systems, Man, and Cybernetics, 3(6): 610-621.   DOI
9 Huang, X., L. Zhang, and L. Wang, 2009. Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery, IEEE Transactions on Geoscience and Remote Sensing Letters, 6(3): 393-397.   DOI
10 Kayitakire, F., C. Hamel, and P. Defourny, 2006. Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery, Remote Sensing of Environment, 102(3-4): 390-401.   DOI
11 장재동, 2006. 다중분광영상과 LIDAR자료를 이용한 농업지역 토지피복 분류, 대한원격탐사학회지, 22(2): 101-110.   DOI
12 Michelson, D. B., B. M. Liljeberg, and P. Pilesjo, 2000. Comparison of algorithms for classifying swedish landcover using Landsat TM and ERS-1 SAR data, Remote Sensing of Environment, 71(1): 1-15.   DOI   ScienceOn
13 Blaes, X., L. Vanhalle, and P. Defourny, 2005. Efficiency of crop identification based on optical and SAR image time series, Remote Sensing of Environment, 96(3-4): 352-365.   DOI
14 Brisco, B. and R. J. Brown, 1995. Multidate SAR/TM synergism for crop classification in western Canada, Photogrammetric Engineering and Remote Sensing, 61(8): 1009-1014.