Pixel level fusion techniques for SAR and optical images: A review

Abstract Image Fusion is a process of combining two or more images into a single image which is more informative and hence more useful from an interpretation point of view. With the rapid development of different remote sensing satellites capturing information from the earth by sensing energy in different portions of the electromagnetic spectrum, complementary information about the area captured by different satellites is available. A fusion of these images is much more helpful in different remote sensing applications than that of single sensor image data. This paper discusses the necessity of fusing synthetic aperture radar (SAR) and optical imagery. A survey is presented for various pixel level approaches used for the fusion of SAR and optical images. Quality metrics used to evaluate the performance of a fusion algorithm, are briefly introduced and visual as well as quantitative evaluation of basic component substitution and wavelet-based fusion approaches is presented for the fusion of RISAT-1 SAR and Resourcesat-2 multispectral data. Finally, the review concludes that there is scope for further research of fusion of SAR and optical images due to various microwave and optical sensors with the improved resolution being launched regularly.

[1]  Jennifer L. Dungan,et al.  Forest variable estimation from fusion of SAR and multispectral optical data , 2002, IEEE Trans. Geosci. Remote. Sens..

[2]  Jean-Yves Tourneret,et al.  High-Resolution Optical and SAR Image Fusion for Building Database Updating , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Corina da Costa Freitas,et al.  Mapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data: A case study in an urban–rural landscape in the Brazilian Amazon , 2011 .

[4]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .

[5]  Youkyung Han,et al.  Automatic and accurate registration of VHR optical and SAR images using a quadtree structure , 2015 .

[6]  Allen M. Waxman,et al.  Assessment of Multi-Sensor Neural Image Fusion and Fused Data Mining for Land Cover Classification , 2006, 2006 9th International Conference on Information Fusion.

[7]  Le Yu,et al.  SAR and Landsat ETM+ image fusion using variational model , 2010, 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering.

[8]  Md. Latifur Rahman Sarker,et al.  Forest biomass estimation from the fusion of C-band SAR and optical data using wavelet transform , 2013, Remote Sensing.

[9]  Yaonan Wang,et al.  Landsat TM and SAR image fusion by multiwavelet transform , 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

[10]  Yun Zhang,et al.  METHODS FOR IMAGE FUSION QUALITY ASSESSMENT - A REVIEW, COMPARISON AND ANALYSIS , 2008 .

[11]  Priti P. Rege,et al.  Hybrid fusion approach for synthetic aperture radar and multispectral imagery for improvement in land use land cover classification , 2019, Journal of Applied Remote Sensing.

[12]  Amrane Houacine,et al.  Fusion of multispectral and radar images in the redundant wavelet domain , 1998, Remote Sensing.

[13]  Xiao Xiang Zhu,et al.  A CNN for the identification of corresponding patches in SAR and optical imagery of urban scenes , 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

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

[15]  Lianru Gao,et al.  Fusion of high spatial resolution optical and polarimetric SAR images for urban land cover classification , 2014, 2014 Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA).

[16]  Jon Atli Benediktsson,et al.  Big Data for Remote Sensing: Challenges and Opportunities , 2016, Proceedings of the IEEE.

[17]  Liangpei Zhang,et al.  A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[18]  Dirk Borghys,et al.  Change detection in urban scenes by fusion of SAR and hyperspectral data , 2007, SPIE Remote Sensing.

[19]  Jianwei Li,et al.  Research on fusion algorithm based on wavelet transformation in SAR image identification , 2011, 2011 9th World Congress on Intelligent Control and Automation.

[20]  Jordi Inglada,et al.  On the possibility of automatic multisensor image registration , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[21]  I. Hajnsek,et al.  A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.

[22]  D. J. Weydahl,et al.  Combining ERS-1 SAR with optical satellite data over urban areas , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[23]  Lamyaa Gamal El-deen Taha,et al.  Investigation of fusion of SAR and Landsat data for shoreline super resolution mapping: the northeastern Mediterranean Sea coast in Egypt , 2010 .

[24]  Xiao Xiang Zhu,et al.  Fusion of SAR and optical remote sensing data — Challenges and recent trends , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[25]  Bryan Mercer,et al.  A Wavelet and IHS Integration Method to Fuse High Resolution SAR with Moderate Resolution Multispectral Images , 2009 .

[26]  Marouane Temimi,et al.  A synergetic use of satellite imagery from SAR and optical sensors to improve coastal flood mapping in the Gulf of Mexico , 2012 .

[27]  J. Zhou,et al.  A wavelet transform method to merge Landsat TM and SPOT panchromatic data , 1998 .

[28]  E. Nezry,et al.  Adaptive speckle filters and scene heterogeneity , 1990 .

[29]  Yun Zhang,et al.  An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images , 2005, Inf. Fusion.

[30]  Christine Pohl,et al.  Multitemporal SAR and Fused ERS-1 Sar/spot xs Image Maps of Indonesia , 1995 .

[31]  Barry Haack,et al.  Fusion of Radar and Optical Data for Land Cover Mapping , 2002 .

[32]  Yu Zeng,et al.  Image fusion for land cover change detection , 2010 .

[33]  A. S. Rajawat,et al.  Study of mangrove communities in Marine National Park and Sanctuary, Jamnagar, Gujarat, India, by fusing RISAT-1 SAR and Resourcesat-2 LISS-IV images , 2017 .

[34]  C. Dupas,et al.  SAR AND LANDSAT TM IMAGE FUSION FOR LAND COVER CLASSIFICATION IN THE BRAZILIAN ATLANTIC FOREST DOMAIN , 2000 .

[35]  G. Qu,et al.  Information measure for performance of image fusion , 2002 .

[36]  Y MuraliMohanBabu.,et al.  A Modified BM3D Algorithm for SAR Image Despeckling , 2015 .

[37]  R. Chandrakanth,et al.  Feasibility of high resolution SAR and multispectral data fusion , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[38]  Xingzhao Liu,et al.  Wavelet-based despeckling SAR images using neighbouring wavelet coefficients , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[39]  J. Schott,et al.  Resolution enhancement of multispectral image data to improve classification accuracy , 1993 .

[40]  Young-Gi Byun,et al.  A texture-based fusion scheme to integrate high-resolution satellite SAR and optical images , 2014 .

[41]  Fengli Zhang,et al.  Multi-Temporal Polarimetric SAR and Optical Data Fusion for Land Cover Mapping in Southwest China , 2010, 2010 International Conference on Multimedia Technology.

[42]  Wooil M. Moon,et al.  Data fusion of multiple polarimetric SAR images using discrete wavelet transform (DWT) , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[43]  Luciano Alparone,et al.  Landsat ETM+ and SAR image fusion based on generalized intensity Modulation , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[44]  Luisa Verdoliva,et al.  A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[45]  Shutao Li,et al.  Pixel-level image fusion: A survey of the state of the art , 2017, Inf. Fusion.

[46]  Anil K. Jain,et al.  Multisource classification of remotely sensed data: fusion of Landsat TM and SAR images , 1994, IEEE Trans. Geosci. Remote. Sens..

[47]  Lei Huang,et al.  Feature-based image registration using the shape context , 2010 .

[48]  Xiao Xiang Zhu,et al.  InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[49]  Qingquan Li,et al.  A comparative analysis of image fusion methods , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[50]  Yi Ma,et al.  Coastal wetland classification based on high resolution SAR and optical image fusion , 2016, IGARSS.

[51]  Luciano Alparone,et al.  Fusion of Multispectral and SAR images by Intensity Modulation , 2004 .

[52]  Luciano Alparone,et al.  A global quality measurement of pan-sharpened multispectral imagery , 2004, IEEE Geoscience and Remote Sensing Letters.

[53]  Giuseppe Scarpa,et al.  A CNN-Based Fusion Method for Feature Extraction from Sentinel Data , 2018, Remote. Sens..

[54]  Jing Tian,et al.  SAR and Multispectral Image Fusion Using Generalized IHS Transform Based on à Trous Wavelet and EMD Decompositions , 2010, IEEE Sensors Journal.

[55]  Priti P. Rege,et al.  Comparison of Different Speckle Noise Reduction Filters for RISAT ‐1 SAR Imagery , 2018, 2018 International Conference on Communication and Signal Processing (ICCSP).

[56]  Yu Zeng,et al.  Change detection approach to SAR and optical image integration , 2008 .

[57]  Xiao Xiang Zhu,et al.  FusioNet: A two-stream convolutional neural network for urban scene classification using PolSAR and hyperspectral data , 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

[58]  Jong-Sen Lee,et al.  Speckle analysis and smoothing of synthetic aperture radar images , 1981 .

[59]  Rick S. Blum,et al.  Fusion method of SAR and optical images for urban object extraction , 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

[60]  Manfred Ehlers.  Spectral characteristics preserving image fusion based on Fourier domain filtering , 2004, SPIE Remote Sensing.

[61]  Kidiyo Kpalma,et al.  An IHS-Based Fusion for Color Distortion Reduction and Vegetation Enhancement in IKONOS Imagery , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[62]  Xiao Xiang Zhu,et al.  Object based fusion of polarimetric SAR and hyperspectral imaging for land use classification , 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

[63]  T. J. Majumdar,et al.  ERS-2 SAR and IRS-1C LISS III data fusion: A PCA approach to improve remote sensing based geological interpretation , 2007 .

[64]  Rabab Kreidieh Ward,et al.  Deep learning for pixel-level image fusion: Recent advances and future prospects , 2018, Inf. Fusion.

[65]  Wolfgang Dierking,et al.  Sea Ice Monitoring by Synthetic Aperture Radar , 2013 .

[66]  Youcef Chibani,et al.  Additive integration of SAR features into multispectral SPOT images by means of the à trous wavelet decomposition , 2006 .

[67]  Fawwaz T. Ulaby,et al.  Mutual information based registration of SAR images , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[68]  Andrea Garzelli,et al.  Hypercomplex Quality Assessment of Multi/Hyperspectral Images , 2009, IEEE Geoscience and Remote Sensing Letters.

[69]  B. S. Manjunath,et al.  A contour-based approach to multisensor image registration , 1995, IEEE Trans. Image Process..

[70]  Nan Yin,et al.  Feasibility of multispectral and synthetic aperture radar image fusion , 2013, 2013 6th International Congress on Image and Signal Processing (CISP).

[71]  Davide Cozzolino,et al.  SAR image despeckling through convolutional neural networks , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[72]  Peter Reinartz,et al.  Mutual-Information-Based Registration of TerraSAR-X and Ikonos Imagery in Urban Areas , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[73]  Alberto Refice,et al.  SAR/optical data fusion for flood detection , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[74]  Xiuqing Wu,et al.  A novel similarity based quality metric for image fusion , 2008, 2008 International Conference on Audio, Language and Image Processing.

[75]  Jon Atli Benediktsson,et al.  Multisource and Multitemporal Data Fusion in Remote Sensing , 2018, ArXiv.

[76]  Gopalan Venkataraman,et al.  Fusion of optical and microwave remote sensing data for snow cover mapping , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[77]  X. L. Wang,et al.  Image fusion for synthetic aperture radar and multispectral images based on sub-band-modulated non-subsampled contourlet transform and pulse coupled neural network methods , 2016 .

[78]  Haigang Sui,et al.  An automatic optical and SAR image registration method with iterative level set segmentation and SIFT , 2015 .

[79]  Md Nasir Sulaiman,et al.  Comparison of Classification Techniques on Fused Optical and SAR Images for Shoreline Extraction: A Case Study at Northeast Coast of Peninsular Malaysia , 2016, J. Comput. Sci..

[80]  Xiao Xiang Zhu,et al.  Data Fusion and Remote Sensing: An ever-growing relationship , 2016, IEEE Geoscience and Remote Sensing Magazine.

[81]  N. Clinton,et al.  A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform , 2017 .

[82]  I. Parcharidis,et al.  Landsat TM and ERS data fusion: a statistical approach evaluation for four different methods , 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).

[83]  Theophano Mitsa,et al.  Temporal Data Mining , 2010 .

[84]  Jia Liu,et al.  Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images , 2016 .

[85]  G. Foody,et al.  Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions , 2012 .

[86]  A. Hegde,et al.  A Review of Quality Metrics for Fused Image , 2015 .

[87]  Michael Schmitt,et al.  A Conditional Generative Adversarial Network to Fuse Sar And Multispectral Optical Data For Cloud Removal From Sentinel-2 Images , 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

[88]  Bo Zhao,et al.  An Objective Quality Metric for Image Fusion based on Mutual Information and Muti-scale Structural Similarity , 2014, J. Softw..

[89]  Rune Solberg,et al.  TIME-SERIES FUSION OF OPTICAL AND SAR DATA FOR SNOW COVER AREA MAPPING , 2008 .

[90]  Young-Ran Lee,et al.  The fusion of SAR images and optical images based on the use of wavelet transform: to improve classification accuracy , 2005, SPIE Remote Sensing.

[91]  Hassan Ghassemian,et al.  A Compressed-Sensing-Based Pan-Sharpening Method for Spectral Distortion Reduction , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[92]  J. Reiche.  Combining SAR and optical satellite image time series for tropical forest monitoring , 2015 .

[93]  Marco Gianinetto,et al.  High-resolution SAR and high-resolution optical data integration for sub-urban land-cover classification , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[94]  J. Sequeira,et al.  SAR IMAGE REGISTRATION USING A NEW APPROACH BASED ON THE GENERALIZED HOUGH TRANSFORM , 2008 .

[95]  Shefali Agrawal,et al.  ALOS PALSAR and Hyperion Data Fusion for Land Use Land Cover Feature Extraction , 2016, Journal of the Indian Society of Remote Sensing.

[96]  R. Chandrakanth,et al.  A Novel Image Fusion System for Multisensor and Multiband Remote Sensing Data , 2014 .

[97]  Gonzalo Pajares,et al.  A wavelet-based image fusion tutorial , 2004, Pattern Recognit..

[98]  Shuang Wang,et al.  A deep learning framework for remote sensing image registration , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[99]  Bo Du,et al.  Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art , 2016, IEEE Geoscience and Remote Sensing Magazine.

[100]  Erkan Uslu,et al.  Enhancing land use classification with fusing dual-polarized TerraSAR-X and multispectral RapidEye data , 2015 .

[101]  Yin Zhouping,et al.  Fusion Algorithm OF Optical Images and SAR With SVT and Sparse Representation , 2015 .

[102]  Josaphat Tetuko Sri Sumantyo,et al.  Microwave and optical image fusion for surface and sub-surface feature mapping in Eastern Sahara , 2010 .

[103]  Maoguo Gong,et al.  Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering , 2012, IEEE Transactions on Image Processing.

[104]  Yue Qi,et al.  Airborne SAR and optical image fusion based on IHS transform and joint non-negative sparse representation , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[105]  Peter Reinartz,et al.  Applicability of the SIFT operator to geometric SAR image registration , 2010 .

[106]  Ramesh A. Gopinath,et al.  Wavelet based speckle reduction with application to SAR based ATD/R , 1994, Proceedings of 1st International Conference on Image Processing.

[107]  Xu JiaHu Chong,et al.  Comparative analysis of different fusion rules for SAR and multi-spectral image fusion based on NSCT and IHS transform , 2015, 2015 International Conference on Computer and Computational Sciences (ICCCS).

[108]  Yan Weidong,et al.  A despeckling algorithm combining curvelet and wavelet transforms of high resolution SAR images , 2010, 2010 International Conference On Computer Design and Applications.

[109]  David A. Clausi,et al.  Automatic registration of SAR and visible band remote sensing images , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[110]  Raquel Urtasun,et al.  Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images , 2017, Remote. Sens..

[111]  D. Amarsaikhan,et al.  Fusing high-resolution SAR and optical imagery for improved urban land cover study and classification , 2010 .

[112]  Youkyung Han,et al.  An Area-Based Image Fusion Scheme for the Integration of SAR and Optical Satellite Imagery , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[113]  Peter Reinartz,et al.  Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data , 2011 .

[114]  Zhou Wang,et al.  Objective Quality Assessment for Multiexposure Multifocus Image Fusion , 2015, IEEE Transactions on Image Processing.

[115]  Saygin Abdikan,et al.  Comparison of different fusion algorithms in urban and agricultural areas using sar (palsar and radarsat) and optical (spot) images , 2012 .

[116]  Liangpei Zhang,et al.  Fusion of multispectral and SAR images using sparse representation , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[117]  Jixian Zhang.  Multi-source remote sensing data fusion: status and trends , 2010 .

[118]  Joni Storie,et al.  Evaluating SAR-Optical Image Fusions for Urban LULC Classification in Vancouver Canada , 2014 .

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

[120]  John L. van Genderen,et al.  Image fusion of microwave and optical remote sensing data for topographic map updating in the tropics , 1995, Remote Sensing.

[121]  Yufeng Zheng,et al.  A new metric based on extended spatial frequency and its application to DWT based fusion algorithms , 2007, Inf. Fusion.

[122]  Jun Liu,et al.  Human visual system consistent quality assessment for remote sensing image fusion , 2015 .

[123]  Li Wang,et al.  Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep learning , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[124]  Shiv Mohan,et al.  Combining ALOS PALSAR and AVNIR-2 data for effective land use/land cover classification in Jharia coalfields region , 2017 .

[125]  Manfred Ehlers,et al.  Multi-sensor image fusion for pansharpening in remote sensing , 2010 .

[126]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[127]  J. Avendano,et al.  Flood monitoring and change detection based on unsupervised image segmentation and fusion in multitemporal SAR imagery , 2015, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

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

[129]  Ying Li,et al.  Cloud Removal From Optical Satellite Imagery With SAR Imagery Using Sparse Representation , 2015, IEEE Geoscience and Remote Sensing Letters.

[130]  Xiaohua Tong,et al.  An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery , 2018 .

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

[132]  Jie Zhang,et al.  PCA-based sea-ice image fusion of optical data by HIS transform and SAR data by wavelet transform , 2015, Acta Oceanologica Sinica.

[133]  Li Lei,et al.  SAR and MS image fusion based on Curvelet Transform and Activity Measure , 2011, 2011 International Conference on Electric Information and Control Engineering.

[134]  Habib Rostami,et al.  MRF-based multispectral image fusion using an adaptive approach based on edge-guided interpolation , 2015, ArXiv.

[135]  Bhu Dev Sharma,et al.  Remote Sensing Image Registration Techniques: A Survey , 2010, ICISP.

[136]  S. Baronti,et al.  Multispectral and panchromatic data fusion assessment without reference , 2008 .

[137]  Richard R. Forster,et al.  Fusion of hyperspectral and radar data using the IHS transformation to enhance urban surface features , 2003 .

[138]  Saygin Abdikan,et al.  Fusion of terrasar-x and rapideye data: a quality analysis , 2013 .

[139]  Priti P. Rege,et al.  Fusion of RISAT-1 SAR Image and Resourcesat-2 Multispectral Images Using Wavelet Transform , 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

[140]  Wei Zhang,et al.  Multi-spectral and SAR images fusion via Mallat and À trous wavelet transform , 2010, 2010 18th International Conference on Geoinformatics.

[141]  R. Ramakrishnan,et al.  An efficient algorithm for automatic fusion of RISAT-1 SAR data and Resourcesat-2 optical images , 2012, 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI).

[142]  Davide Cozzolino,et al.  Fusion of sar-optical data for land cover monitoring , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[143]  Nicolas Baghdadi,et al.  Rapid Urban Mapping Using SAR/Optical Imagery Synergy , 2008, Sensors.

[144]  Paolo Gamba,et al.  Combining SAR-Based and Multispectral-Based Extractions to Map Urban Areas at Multiple Spatial Resolutions , 2015, IEEE Geoscience and Remote Sensing Magazine.

[145]  Xiao Xiang Zhu,et al.  The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion , 2018, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

[146]  Biswajeet Pradhan,et al.  Fusion of RADARSAT-2 and multispectral optical remote sensing data for LULC extraction in a tropical agricultural area , 2017 .

[147]  Hassan Ghassemian,et al.  A review of remote sensing image fusion methods , 2016, Inf. Fusion.

[148]  X. X. Zhu,et al.  Colorizing SENTINEL-1 SAR Images Using a Variational Autoencoder Conditioned on SENTINEL-2 Imagery , 2018 .

[149]  Jeff R. Harris,et al.  IHS transform for the integration of radar imagery with other remotely sensed data , 1990 .

[150]  Florence Tupin,et al.  Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights , 2009, IEEE Transactions on Image Processing.

[151]  Jan Verbesselt,et al.  Combining satellite data for better tropical forest monitoring , 2016 .

[152]  Vishal M. Patel,et al.  SAR Image Despeckling Using a Convolutional Neural Network , 2017, IEEE Signal Processing Letters.

[153]  Lawrence A. Klein,et al.  Sensor and Data Fusion Concepts and Applications , 1993 .

[154]  R. Chandrakanth,et al.  Fusion of High Resolution Satellite SAR and Optical Images , 2011, 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping.

[155]  J. Shan,et al.  An Optimal Fusion Approach for Optical and SAR Images , 2006 .

[156]  Lucien Wald,et al.  Quality of high resolution synthesised images: Is there a simple criterion ? , 2000 .

[157]  Lorenzo Bruzzone,et al.  Image fusion techniques for remote sensing applications , 2002, Inf. Fusion.

[158]  Florence Tupin,et al.  Detection of building outlines based on the fusion of SAR and optical features , 2003 .

[159]  Vivek Kumar Gupta,et al.  Analysis of image fusion techniques over multispectral and microwave SAR images , 2013, 2013 International Conference on Communication and Signal Processing.

[160]  Chunhong Pan,et al.  Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT , 2013, IEEE Geoscience and Remote Sensing Letters.

[161]  Christine Pohl,et al.  Remote Sensing Image Fusion: A Practical Guide , 2016 .

[162]  Albert Y. Zomaya,et al.  Remote sensing big data computing: Challenges and opportunities , 2015, Future Gener. Comput. Syst..

[163]  Manfred Ehlers,et al.  Multisensor image fusion techniques in remote sensing , 1991 .

[164]  Gabriele Moser,et al.  Multimodal Classification of Remote Sensing Images: A Review and Future Directions , 2015, Proceedings of the IEEE.