Browse > Article
http://dx.doi.org/10.7780/kjrs.2009.25.1.11

Comparison of Digital Number Distribution Changes of Each Class according to Atmospheric Correction in LANDSAT-5 TM  

Jung, Tae-Woong (Department of Advanced Technology Fusion, Konkuk University)
Eo, Yang-Dam (Department of Advanced Technology Fusion, Konkuk University)
Jin, Tailie (Department of Advanced Technology Fusion, Konkuk University)
Lim, Sang-Boem (Department of Advanced Technology Fusion, Konkuk University)
Park, Doo-Youl (Chung-Ang Aerosurvey Co. Ltd.)
Park, Hwang-Soo (Department of Advanced Technology Fusion, Konkuk University)
Piao, Minghe (Department of Advanced Technology Fusion, Konkuk University)
Park, Wan-Yong (Agency for Defense Development)
Publication Information
Korean Journal of Remote Sensing / v.25, no.1, 2009 , pp. 11-20 More about this Journal
Abstract
Due to increasing frequency of yellow dust, not to mention high rate of precipitation and cloud formation in summer season of Korea, atmospheric correction of satellite remote sensing is necessary. This research analyzes the effect of atmospheric correction has on imagery classification by comparing DN distribution before and after atmospheric correction. The image used in the research is LANDSAT-5 TM. As for atmospheric correction module, commercial product ATCOR, FLAASH as well as COST model released on the internet, were used. The result of experiment shows that class separability increased in building areas.
Keywords
Atmospheric Correction; VITD; ATCOR; FLAASH; Class Separability;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 이용웅, 어양담, 박완용, 서병준, 송현승, 유향미, 2004. VITD 규격분석, TEDC-508-040353, 국방과학연구소
2 Acharya, P. K., A. Berk, G. P. Anderson, N. F. Larsen, S. C. Tsay, and K. H. Stammes, 1999. MODTRAN4: Multiple Scattering and Bidirectional Distribution Function(BRDF) Upgardes to MODTRAN, Proceeding of SPIE, Optical Spectroscopy Techniques and Instrumentation of Atmospheric and Space Research, Vol. 3756   DOI
3 Eo, Y. D., G. W. Lee, D. Y. Park, W. Y. Park, and C. N. Lee, 2008. Supervised Classification Using Training Parameters and Prior Probability Generated from VITD, Korean Journal of Remote Sensing, 24(5): 517-524   과학기술학회마을   DOI
4 Swain, P. H. and S. M. Davis, 1978. Remote Sensing: The Quantitative Approach, McGraw-Hill, Inc., New York, N.Y.: 170-171
5 Eckhardt, D. W., J. P. Verdin, and G. R. Lyford, 1990. Automated update of and irrigated Lands GIS using SPOT HRV Imagery, PE&RS, 56(11): 1515-1522
6 Lillesand, T. M. and R. W. Kiefer, 1987. Remote Sensing and Image Interpretation, John Wiley and Sons, New York, USA
7 Hall, F. G., D. E. Strebel, J. E. Nickeson, and S. J. Goetz, 1991. Radiometric Rectification: Toward a Common Radiometric Response among Multidate, Multisensor Images, Remote Sensing of Environment, 35(1): 11-27   DOI   ScienceOn
8 Kim, Y. S. and G. W. Lee, 2005. An Experimental Study on the Image-based Atmospheric Correction Method for High Resolution Multispectral Data, IGARSS '05. Proceedings: 434-436
9 이광재, 김용승, 2005. 다중분광 자료를 이용한 영상기반의 대기보정 연구, KARI, Korea Aerospace Research Institute, 4(1): 211-220
10 Chander, G. and B. Markham, 2003. Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges, IGARSS, 41(1): 2674-2677   DOI   ScienceOn
11 유복모, 1991. 사진측정학, 문운당
12 Moran, S., R. D. Jackson, P. N. Slater, and P. M. Teillet, 1992. Evaluation of Simplified procedures for Retrieval of Land Surface Reflectance Factors from Satellite Sensor Output, Remote Sensing of Environment, 41: 169-184   DOI   ScienceOn
13 Kawata, Y., T. Kusaka, and S. Ueno, 1990. Classification Accuracy for the MOS-1 MESSR Data Before and After the Atmospheric Correction, IEEE Transactions on Geoscience and Remote Sensing, 28(4): 755-760   DOI   ScienceOn
14 Oh, S. N., 2004. A Study on Atmospheric Correction in Satellite Imagery Using an Atmospheric Radiation Model, Atmosphere, 14(2): 11-22
15 Song, C., E. W. Curtis, C. S. Karen, P. L. Mary, and A. M. Scott, 2001. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?, Remote Sensing of Environment, 75: 230-244   DOI   ScienceOn
16 Chavez, P. S., Jr., 1996. Image-Based Atmospheric Corrections Revisited and Improved, PE&RS, 62(9): 1285-1294
17 최준혁, 이지선, 김정호, 이성호, 김태국, 2008. 대기온도 및 풍속 변화에 따른 함정의 적외선 신호 특성 분석, 한국군사과학기술학회지, 11(5): 84-91   과학기술학회마을