Image fusion techniques for remote sensing applications

Image fusion refers to the acquisition, processing andsynergistic combination of information providedby various sensors or by the same sensor in many measuring contexts. The aim of this survey paper is to describe three typical applications of data fusion in remote sensing. The first study case considers the problem of the synthetic aperture radar (SAR) interferometry, where a pair of antennas are usedto obtain an elevation map of the observedscene; the secondone refers to the fusion of multisensor andmultitemporal (Landsat Thematic Mapper and SAR) images of the same site acquired at different times, by using neural networks; the thirdone presents a processor to fuse multifrequency, multipolarization andmutiresolution SAR images, basedon wavelet transform andmultiscale Kalman filter (MKF). Each stud y case presents also the results achievedby the proposedtechniques appliedto real d ata. � 2002 Elsevier Science B.V. All rights reserved.

[1]  R. Baxter.  Synthetic Aperture Radar Image Coding , 1998 .

[2]  Pramod K. Varshney,et al.  Multisensor Data Fusion , 1997, IEA/AIE.

[3]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[4]  Stéphane Houzelle,et al.  Interpretation of remotely sensed images in a context of multisensor fusion using a multispecialist architecture , 1993, IEEE Trans. Geosci. Remote. Sens..

[5]  Jiancheng Shi,et al.  The effect of topography on SAR calibration , 1993, IEEE Trans. Geosci. Remote. Sens..

[6]  N. Khazenie,et al.  Spatial-temporal Autocorrelated Model For Contextual Classification , 1990 .

[7]  Michèle Basseville,et al.  Modeling and estimation of multiresolution stochastic processes , 1992, IEEE Trans. Inf. Theory.

[8]  Adrian J. Luckman,et al.  Correction of SAR imagery for variation in pixel scattering area caused by topography , 1998, IEEE Trans. Geosci. Remote. Sens..

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

[10]  D. Leckie.  Synergism of synthetic aperture radar and visible/infrared data for forest type discrimination. , 1990 .

[11]  Franz Leberl,et al.  Radargrammetric image processing , 1990 .

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

[13]  P. Swain,et al.  A method for classification of multisource data using interval-valued probabilities and its application to HIRIS data , 1990 .

[14]  D.A. Landgrebe,et al.  Classification with spatio-temporal interpixel class dependency contexts , 1992, IEEE Trans. Geosci. Remote. Sens..

[15]  Peter J. Burt,et al.  Enhanced image capture through fusion , 1993, 1993 (4th) International Conference on Computer Vision.

[16]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[17]  Alfonso Farina,et al.  A fast phase unwrapping algorithm for SAR interferometry , 1999, IEEE Trans. Geosci. Remote. Sens..

[18]  W. J. Carper,et al.  The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data , 1990 .

[19]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[20]  Isabelle Bloch.  Information combination operators for data fusion: a comparative review with classification , 1996, IEEE Trans. Syst. Man Cybern. Part A.

[21]  A. Farina,et al.  Radar image fusion by multiscale Kalman filtering , 2000, Proceedings of the Third International Conference on Information Fusion.

[22]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[23]  Praveen Kumar,et al.  A multiple scale state-space model for characterizing subgrid scale variability of near-surface soil moisture , 1999, IEEE Trans. Geosci. Remote. Sens..

[24]  K. C. Chou,et al.  Multiscale recursive estimation, data fusion, and regularization , 1994, IEEE Trans. Autom. Control..

[25]  Roland Wilson.  Multiresolution image modelling , 1997 .

[26]  Paul W. Fieguth,et al.  Multiscale methods for the segmentation and reconstruction of signals and images , 2000, IEEE Trans. Image Process..

[27]  Lorenzo Bruzzone,et al.  A neural-statistical approach to multitemporal and multisource remote-sensing image classification , 1999, IEEE Trans. Geosci. Remote. Sens..

[28]  Simon Haykin,et al.  Classification of sea-ice images using a dual-polarized radar , 1990 .

[29]  John D. Lowrance,et al.  An Inference Technique for Integrating Knowledge from Disparate Sources , 1981, IJCAI.

[30]  Paul W. Fieguth,et al.  Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Sebastiano B. Serpico,et al.  Classification of multisensor remote-sensing images by structured neural networks , 1995, IEEE Trans. Geosci. Remote. Sens..

[32]  I. Daubechies.  Orthonormal bases of compactly supported wavelets , 1988 .

[33]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[34]  Isabelle Bloch,et al.  Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing , 1997, IEEE Trans. Geosci. Remote. Sens..