Information Loss-Guided Multi-Resolution Image Fusion
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[1] Peter M. Atkinson,et al. Downscaling in remote sensing , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[2] Alexandre Boucher,et al. Super-resolution land cover mapping with indicator geostatistics , 2006 .
[3] Brian Wenny,et al. Pre- and Post-Launch Spatial Quality of the Landsat 8 Thermal Infrared Sensor , 2015, Remote. Sens..
[4] Jon Atli Benediktsson,et al. Multisource and Multitemporal Data Fusion in Remote Sensing , 2018, ArXiv.
[5] Luciano Alparone,et al. MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery , 2006 .
[6] Ranga B. Myneni,et al. The impact of gridding artifacts on the local spatial properties of MODIS data : Implications for validation, compositing, and band-to-band registration across resolutions , 2006 .
[7] A. Stewart Fotheringham,et al. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity , 2010 .
[8] Wenzhong Shi,et al. Class Allocation for Soft-Then-Hard Subpixel Mapping Algorithms With Adaptive Visiting Order of Classes , 2014, IEEE Geoscience and Remote Sensing Letters.
[9] Freek D. van der Meer,et al. Remote-sensing image analysis and geostatistics , 2012 .
[10] Jocelyn Chanussot,et al. A Critical Comparison Among Pansharpening Algorithms , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[11] P. Kyriakidis,et al. Geostatistical Prediction and Simulation of Point Values from Areal Data , 2005 .
[12] Jocelyn Chanussot,et al. Pansharpening Based on Semiblind Deconvolution , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[13] P. Kyriakidis. A Geostatistical Framework for Area-to-Point Spatial Interpolation , 2004 .
[14] G. Foody. Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI–rainfall relationship , 2003 .
[15] Bruno Aiazzi,et al. Improving Component Substitution Pansharpening Through Multivariate Regression of MS $+$Pan Data , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[16] Jingfeng Huang,et al. A satellite-based geographically weighted regression model for regional PM2.5 estimation over the Pearl River Delta region in China , 2014 .
[17] G. Foody,et al. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions , 2003 .
[18] Peter M. Atkinson,et al. Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study , 2009 .
[19] Matthias Drusch,et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .
[20] Aline Roumy,et al. Single-Image Super-Resolution via Linear Mapping of Interpolated Self-Examples , 2014, IEEE Transactions on Image Processing.
[21] Dorit Hammerling,et al. Geostatistical inverse modeling for super-resolution mapping of continuous spatial processes , 2013 .
[22] L. Alparone,et al. An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas , 2003, 2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas.
[23] Peter M. Atkinson,et al. The effect of the point spread function on sub-pixel mapping , 2017 .
[24] S. Baronti,et al. Multispectral and panchromatic data fusion assessment without reference , 2008 .
[25] 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.
[26] Johannes R. Sveinsson,et al. Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[27] L. Wald,et al. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images , 1997 .
[28] Liangpei Zhang,et al. Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network , 2017, IEEE Geoscience and Remote Sensing Letters.
[29] Wenzhong Shi,et al. Indicator Cokriging-Based Subpixel Mapping Without Prior Spatial Structure Information , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[30] D. Civco,et al. Application of geographically weighted regression to fill gaps in SLC-off Landsat ETM+ satellite imagery , 2014 .
[31] Bruno Aiazzi,et al. Hyper-Sharpening: A First Approach on SIM-GA Data , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[32] M. Charlton,et al. Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis , 1998 .
[33] Pierre Goovaerts,et al. Kriging and Semivariogram Deconvolution in the Presence of Irregular Geographical Units , 2008, Mathematical geology.
[34] Bruno Aiazzi,et al. A Comparison Between Global and Context-Adaptive Pansharpening of Multispectral Images , 2009, IEEE Geoscience and Remote Sensing Letters.
[35] Andrea Garzelli,et al. Hypercomplex Quality Assessment of Multi/Hyperspectral Images , 2009, IEEE Geoscience and Remote Sensing Letters.
[36] Jocelyn Chanussot,et al. Fusion of Multispectral and Panchromatic Images Based on Morphological Operators , 2016, IEEE Transactions on Image Processing.
[37] 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.
[38] Jean-Yves Tourneret,et al. Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[39] Kiyun Yu,et al. A New Adaptive Component-Substitution-Based Satellite Image Fusion by Using Partial Replacement , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[40] Jocelyn Chanussot,et al. Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening , 2014, IEEE Geoscience and Remote Sensing Letters.
[41] V. K. Shettigara,et al. A generalized component substitution technique for spatial enhancement of multispectral images using , 1992 .
[42] 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.
[43] S. Sides,et al. Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic , 1991 .
[44] J. G. Liu,et al. Smoothing Filter-based Intensity Modulation : a spectral preserve image fusion technique for improving spatial details , 2001 .
[45] Andrea Garzelli,et al. Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images , 2008, IEEE Transactions on Geoscience and Remote Sensing.