A Pansharpening Algorithm Based on Morphological Filters

The fusion of multispectral and panchromatic images acquired by sensors mounted on satellite platforms represents a successful application of data fusion called Pansharpening. In this work we propose an algorithm based on morphological pyramid decomposition. This approach implements a Multi Resolution scheme based on morphological gradients for extracting spatial details from the panchromatic image, which are subsequently injected in the multispectral one. Several state-of-the-art methods are considered for comparison. Quantitative and qualitative results confirm the capability of the proposed technique to obtain pansharpened images that outperform state-of-the-art approaches.

[1]  Pierre Soille,et al.  Morphological Image Analysis: Principles and Applications , 2003 .

[2]  Xavier Otazu,et al.  Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Luciano Alparone,et al.  MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery , 2006 .

[4]  Paolo Addesso,et al.  A pansharpening algorithm based on genetic optimization of Morphological Filters , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[5]  Bhabatosh Chanda,et al.  Fusion of 2D grayscale images using multiscale morphology , 2001, Pattern Recognit..

[6]  Jocelyn Chanussot,et al.  A Critical Comparison Among Pansharpening Algorithms , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Roger L. King,et al.  An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[8]  L. Wald,et al.  Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images , 1997 .

[9]  Selma Cherchali,et al.  Multiresolution analysis and reconstruction by a morphological pyramid in the remote sensing of terrestrial surfaces , 2001, Signal Process..

[10]  Laporterie Florence,et al.  THE MORPHOLOGICAL PYRAMID AND ITS APPLICATIONS TO REMOTE SENSING: MULTIRESOLUTION DATA ANALYSIS AND FEATURES EXTRACTION , 2011 .

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

[12]  O. Amram,et al.  Mathematical morphology multi-level analysis of trees patterns in savannas , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[13]  Florence Laporterie.  Représentations hiérarchiques d'images avec des pyramides morphologiques : application à l'analyse et à la fusion spatio-temporelle de données en observation de la Terre , 2002 .

[14]  S. Sides,et al.  Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic , 1991 .

[15]  Xiangzhi Bai,et al.  Edge preserved image fusion based on multiscale toggle contrast operator , 2011, Image Vis. Comput..

[16]  Guy Flouzat,et al.  Data fusion thanks to an improved morphological pyramid approach: comparison loop on simulated images and application to SPOT 4 data , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[17]  P. Maragos.  3.3 – Morphological Filtering for Image Enhancement and Feature Detection , 2004 .

[18]  Alexander Toet,et al.  Hierarchical image fusion , 1990, Machine Vision and Applications.

[19]  Mohamed-Jalal Fadili,et al.  Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity, by Jean-Luc Starck, Fionn Murtagh, and Jalal M. Fadili , 2010, J. Electronic Imaging.

[20]  Xiangzhi Bai.  Morphological image fusion using the extracted image regions and details based on multi-scale top-hat transform and toggle contrast operator , 2013, Digit. Signal Process..

[21]  Alexander Toet,et al.  A morphological pyramidal image decomposition , 1989, Pattern Recognit. Lett..

[22]  Henk J. A. M. Heijmans,et al.  Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids , 2000, IEEE Trans. Image Process..

[23]  Jocelyn Chanussot,et al.  Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest , 2007, IEEE Transactions on Geoscience and Remote Sensing.

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

[25]  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..