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http://dx.doi.org/10.7780/kjrs.2008.24.6.631

High Resolution Reconstruction of EO-1 Hyperion Hyperspectral Images Using IKONOS Images  

Lee, Sang-Hoon (Kyungwon University)
Publication Information
Korean Journal of Remote Sensing / v.24, no.6, 2008 , pp. 631-639 More about this Journal
Abstract
This study presents an approach to synthesize hyperspectral images of lower resolution at a higher resolution using the high resolution images acquired from a sensor of commercial satellites. The proposed method was applied to the reconstruction of EO-1 Hyperion images using the images acquired from IKONOS sensor. Based on the FitPAN-Mod pansharpening technique (Lee, 2008b), the hyperspectral images of 30m resolution were reconstructed at 1m resolution of IKONOS panchromatic image. In this study, the synthesized hyperspectral images of 50 bands, whose wavelengths range in the wavelength of panchromatic sensor, were generated from the three stages of high resolution reconstruction using FitPAN-Mod. The experimental results show that the proposed method effectively integrates the spatial detail of the panchromatic modality as well as the spectral detail of the hyperspectral one into the synthesized image. It indicates the proposed method has a potential as a technique to produce alternative images for the images that would have been observed from a hyperspectral sensor at the high resolution of commercial satellite images.
Keywords
Hyperspectral; Pansharpening; IKONOS; Hyperion; High resolution reconstruction;
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Times Cited By KSCI : 12  (Citation Analysis)
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1 신정일, 김선화, 윤정숙, 김태근, 이규성, 2006. 도시지역의 수문학적 토지피복 분류를 위한 초분광영상의 분광혼합분석, 대한원격탐사학회지, 22(6): 565-574   과학기술학회마을   DOI
2 Nguyen van Huan, H. Kim, S-H Kim, and K-S Lee, 2007. Design and Implementation of Hyperspectral Image Analysis Tool: HYVIEW, Korean J. rem. Sens., 23(6): 171-179   과학기술학회마을   DOI
3 Park, J. H., C. H. Ahn, K. O. Kim, and Y. K. Yang, 2000. New Data Fusion Method Using Multiresolution Sensor Images, Korean J. rem. Sens., 16(1): 55-60
4 Nunez, J., X. Otazu, O. Fors, A. Prades, V. Pala, and R. Arbiol, 1999. Multiresolution-based image fusion with additive wavelet decomposition, IEEE Trans. Geosci. Rem. Sens., 37: 1204-1211   DOI   ScienceOn
5 Zhou, J., D. L. Civco, and J. A. Silander, 1998. A wavelet transform method to merge Landsat TM and SPOT panchromatic data. Internat. J. Rem. Sens., 19(4): 743-757   DOI
6 Chavez, P. S., S. C. Sildes, and J. A. Anderson, 1991. Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic. Photogramm. Eng. Rem. Sens., 57(3): 295-303
7 Shettigara, V. K., 1992. A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set. Photogramm. Eng. Rem. Sens., 58(5): 561-567
8 Yoo, H-Y. and K. Lee, 2005. Texture Image Fusion on Wavelet Scheme with Space Borne High Resolution Imagery: An Experimental Study, Korean J. Rem. Sens., 21(3): 243-252   과학기술학회마을   DOI
9 Yoon, Y. and Y. Kim, 2007. Application of Hyperion hyperspectral remote sensing data for wildfire fuel mapping, Korean J. Rem. Sens., 23(1): 21-32   과학기술학회마을   DOI
10 장안진, 김용일, 2008. 프랙탈 차원 및 Continuum Removal 기법을 이용한 Hyperion 영상의 노이즈 밴드 제거, 대한원격탐사학회지, 24(2): 125-131   과학기술학회마을   DOI
11 한동엽, 김대성, 김용일, 2006. 극단화소를 이용한 Hyperion 데이터의 노이즈 밴드제거, 대한원격탐사학회지, 22(4): 275-284   과학기술학회마을   DOI
12 김선화, 이규성, 마정림, 국민정, 2005. 초분광 원격탐사의 특성, 처리기법 및 활용 현황, 대한원격탐사학회지, 21(4): 341-369   과학기술학회마을   DOI
13 박노욱, 지광훈, 권병두, 2004. 퍼지 논리 융합과 반복적 Relaxation Labeling을 이용한 다중 센서원격탐사 화상 분류, 20(4): 275-288   DOI
14 Carper, W. J., T. M. Lillesand, and R. W. Kiefer, 1990. The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data, Photogramm. Eng. Rem. Sens., 56(4): 459-467
15 Chavez, P. S. and A. Y. Kwarteng, 1989. Extracting spectral contrast in Landsat thematic mapper image data using selective component analysis. Photogramm. Eng. Rem. Sens., 55(3): 339-348
16 한동엽, 조영욱, 김용일, 이용웅, 2003. Hyperion 영상의 분류를 위한 밴드 추출, 대한원격탐사학회지, 19(2): 171-179
17 Lee, S-H., 2008a. Quadratic Programming Approach to Pansharpening of Multispectral Images Using a Regression Model, Korean J. rem. Sens., 24(3): 257-266   과학기술학회마을   DOI
18 Lee, S-H., 2008b. Fitting to Panchromatic Image for Pansharpening Combining Point-Jacobian MAP Estimation, Korean J. rem. Sens., 24(5): 525-533   과학기술학회마을   DOI
19 Yockey, D. A., 1995. Image merging and data fusion by means of the discrete two-dimensional wavelet transform. J. Opt. Soc. Amer. A, 12 (9): 1834-1841   DOI   ScienceOn
20 Civco, D. L., Y. Wang, and J. A. Silander, 1995. Characterizing forest ecosystems in Connecticut by integrating Landsat TM and SPOT panchromatic data. Proc. 1995 Annual ASPRS/ACSM Convention. Charlotte, NC., 2: 216-224
21 최재완, 김대성, 이병길, 김용일, 유기윤, 2006. 2단계 분광혼합기법 기반의 하이퍼스펙트럴 영상융합 알고리즘, 대한원격탐사학회지, 22(4): 295-304   과학기술학회마을   DOI
22 Li, H., B. S. Manjunath, and S. K. Mitra, 1995. Multisensor image fusion using the wavelet transform. Graph. Model. Image Proc., 57(3): 235-245   DOI   ScienceOn
23 Jang, G-S., K. A. Sudduth, S. Y. Hong, N. R. Kitchen, and H. L. Palm, 2006. Relating Hyperspectral Image Bands and Vegetation Indices to Corn and Soybean Yield, Korean J. Rem. Sens., 22(3): 183-197   과학기술학회마을   DOI
24 Aiazzi, B., L. Alparone, S. Baronti, and A. Garzelli, 2002. Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis, IEEE Trans. Geosci. Rem. Sens., 40: 2300-2312   DOI   ScienceOn