Abstract The fusion methods such as IHStransform could merge two sorts of optical image data with different resolutions-a high spatial resolution panchromatic image and a low spatial resolution multispectral image. Nevertheless, such fusion methods require that the spectral response range of the high spatial resolution panchromatic image is identical or approximates to the spectral response range of the multispectral image. This paper puts forward a new fusion method called high-pass filter fusion (HPFF) that could merge two sorts of optical image data with different spectral characteristics. Its algorithm is as follows: First, to filter on the panchromatic image with high pass filter, and then to fuse the remote sensing data by applying IHStransformation. The color of the HPFFimage approximates to the color of multispectral image. The HPFFmethod is more effective in spectral preservation than the IHStransformation.
[1] Van Genderen.Multi-sensor image fusion in remote sensing: concept, methods and application［J］.Int.J.Remote Sensing,1998, 19(5): 823-854.
[2] Christine Pohl.Enhanced image analysis through multilevel data fusion techniques
[A].Proceedings SPIE Signal Processing［C］. 1997, 3068: 21-24.
[3] Solberg S, Jain A K, Taxt T.A markov random field model for classification of multisource satellite imagery［J］.IEEE Transactions on Geoscience and Remote sensing, 1996, 34(1):100-113.
[4] Solberg S, Jain A K, Taxt T.Multisource classification of remotely sensed data: Fusion of Landsat TM and SAR Images［J］.IEEE Transactions on Geoscience and Remote sensing, 1994,32(4):768-777.
[5] Costantiti M, Farina A, Zirilli F.The fusion of different resolution SAR images
[A].Proceedings of the IEEE［C］. 1997, 85(1 ): 139-146.
[7] Pellemans A, Jardans R, Allewijn R.Merging multi-spectral and panchromatic SPOT image with respect to the radiometric properties of the sensor［J］. Photogrammetric Engineering & Remote Sensing, 1993,12(1):81-87.
[8] Jim V.Multi-spectral imagery band sharpening study［J］. Photogrammetric Engineering & Remote Sensing,1996, 62 (9):1075-1083.
[9] Jia Yonghong, Li Deren, Sun Jiabing.An approach of fusing remotely sensed multi-spectral Images with aerial Photos
[A].Proceedings of 'Geoinformatics' 96 Wuhan-International Symposium on the Occasion of the 40th［C］. Wuhan, 1996.
[10] Hayden R, Dalke G W, Henkel J, et al..Application of the IHS color transform to the processing of multisensor data and image enhancement
[A].Proceedings of the International Symposium on Remote Sensing of Arid and Semi-arid Lands［C］. Cairo, Egypt, 1982, 599-616.
[11] Toetand A, Walranven J.New false color mapping for image fusion［J］. Opt. Eng., 1996, 35: 650-658.
[12] Chavez P S, Stuart J, Sides C.Comparison of three different methods to merge multi-spectral and multi-resolution data: Landsat TM and SPOT panchromatic［J］.Photogrammetric Engineering & Remote Sensing, 1991,57(3):295-303.
[13] Yesou H, Besnus Y, Rolet Y.Extraction of spectral information from Landsat TM data and merger with SPOT panchromatic imagery-A contribution to the study of Geological structures［J］. ISPRS J. of Photogrammetry and Remote Sensing, 1993, 48(5):23-36.
[14] Ehlers M. Multi-sensor image fusion techniques in remote sensing［J］. ISPRS J. Photogrammetry and Remote Sensing, 1991, 46: 19-30.
[15] Yocky D A. Image merging and data fusion by means of the discrete two-dimensional wavelet transform［J］. J. Opt. Soc. Am. A, 1995,12(9):1834-1841.
[16] Liu J G. Smoothing filter-based intensity modulating: a spectral preserve image fusion for improving spatial details［J］. Int.J.Remote Sensing, 2000,18,3461-3472.
[17] Sheffigara V K. A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set［J］. Photogrammetric Engineering & Remote Sensing, 1992, 58(5): 56 1～567.
2003,
Vol. 15
