Adjustable intensity-hue-saturation and Brovey transform fusion technique for IKONOS/ QuickBird imagery

Among various image fusion methods, intensity-hue- saturation IHS and Brovey transforms BT can quickly merge huge amounts of IKONOS/QuickBird imagery. However, spectral degradation often appears in the fused images. Moreover, IHS and BT suffer from individual color distortion on saturation compression and saturation stretching, respectively. To balance these two saturation changes during the fusion process, an adjustable IHS-BT approach with spectral adjust- ment is proposed. Furthermore, to solve the typical bright target recovery BTR problems, a simple procedure of dynamic range adjustment DRA is also presented. By adopting different DRA techniques, the pro- posed IHS-BT method is divided into two different fusion approaches: the model of preserving spectral information and the model of enhancing spatial details. Experimental results demonstrate that the proposed com- bined approaches can achieve significant improvement over other cur- rent approaches. © 2005 Society of Photo-Optical Instrumentation Engineers.

[1]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[2]  R. S. Ledley,et al.  Fundamentals of true-color image processing , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[3]  Te-Ming Tu,et al.  A new look at IHS-like image fusion methods , 2001, Inf. Fusion.

[4]  Te-Ming Tu,et al.  A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery , 2004, IEEE Geoscience and Remote Sensing Letters.

[5]  Yun Zhang.  PROBLEMS IN THE FUSION OF COMMERCIAL HIGH-RESOLUTION SATELLITE AS WELL AS LANDSAT 7 IMAGES AND INITIAL SOLUTIONS , 2002 .

[6]  C. Vincent Tao,et al.  An Initial Study on Automatic Reconstruction of Ground DEMs from Airborne IfSAR DSMs , 2004 .

[7]  Andrea Garzelli,et al.  Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis , 2002, IEEE Trans. Geosci. Remote. Sens..

[8]  Dong-Chen He,et al.  A new technique for multi-resolution image fusion , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[9]  Chi-Fang Lin,et al.  Approach to maximize increased details and minimize color distortion for IKONOS and QuickBird image fusion , 2004 .

[10]  Xavier Otazu,et al.  Multiresolution-based image fusion with additive wavelet decomposition , 1999, IEEE Trans. Geosci. Remote. Sens..

[11]  K. Nikolakopoulos.  Comparison of four different fusion techniques for IKONOS data , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[12]  Yun Zhang,et al.  Understanding image fusion , 2004 .

[13]  L. Wald,et al.  Fusion of high spatial and spectral resolution images : The ARSIS concept and its implementation , 2000 .

[14]  J. G. Liu,et al.  Smoothing Filter-based Intensity Modulation: A spectral preserve image fusion technique for improving spatial details , 2000 .