Perceptual Quality Assessment of Pan-Sharpened Images
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Gemine Vivone | Alan C. Bovik | Hernán Darío Benítez-Restrepo | Oscar A. Agudelo-Medina | A. Bovik | G. Vivone | H. Benítez-Restrepo
[1] Stefano Baronti,et al. Improving Hypersharpening for WorldView-3 Data , 2019, IEEE Geoscience and Remote Sensing Letters.
[2] Praful Gupta,et al. Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality , 2019, IEEE Transactions on Image Processing.
[3] Jocelyn Chanussot,et al. A Bayesian Procedure for Full-Resolution Quality Assessment of Pansharpened Products , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[4] Praful Gupta,et al. Studying the Statistics of Natural X-ray Pictures , 2018 .
[5] C. Pohl,et al. Standardizing Quality Assessment of Fused Remotely Sensed Images , 2017 .
[6] Chiman Kwan,et al. Blind Quality Assessment of Fused WorldView-3 Images by Using the Combinations of Pansharpening and Hypersharpening Paradigms , 2017, IEEE Geoscience and Remote Sensing Letters.
[7] Alan Conrad Bovik,et al. Predicting the Quality of Fused Long Wave Infrared and Visible Light Images , 2017, IEEE Transactions on Image Processing.
[8] Jonathan Cheung-Wai Chan,et al. No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning , 2017, Remote. Sens..
[9] Alan C. Bovik,et al. Perceptual quality prediction on authentically distorted images using a bag of features approach , 2016, Journal of vision.
[10] Jocelyn Chanussot,et al. A Critical Comparison Among Pansharpening Algorithms , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[11] Jocelyn Chanussot,et al. Pansharpening Based on Semiblind Deconvolution , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[12] Luciano Alparone,et al. Full scale assessment of pansharpening methods and data products , 2014, Remote Sensing.
[13] Jocelyn Chanussot,et al. A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors , 2014, IEEE Transactions on Image Processing.
[14] Farhad Samadzadegan,et al. Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric , 2013, Remote. Sens..
[15] Damon M. Chandler,et al. No-reference image quality assessment based on log-derivative statistics of natural scenes , 2013, J. Electronic Imaging.
[16] Alan C. Bovik,et al. Making a “Completely Blind” Image Quality Analyzer , 2013, IEEE Signal Processing Letters.
[17] Shutao Li,et al. Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[18] Alan C. Bovik,et al. No-Reference Image Quality Assessment in the Spatial Domain , 2012, IEEE Transactions on Image Processing.
[19] Christophe Charrier,et al. Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain , 2012, IEEE Transactions on Image Processing.
[20] Alan C. Bovik,et al. Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality , 2011, IEEE Transactions on Image Processing.
[21] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[22] Shutao Li,et al. A New Pan-Sharpening Method Using a Compressed Sensing Technique , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[23] Luciano Alparone,et al. A Theoretical Analysis of the Effects of Aliasing and Misregistration on Pansharpened Imagery , 2011, IEEE Journal of Selected Topics in Signal Processing.
[24] Rajiv Soundararajan,et al. Study of Subjective and Objective Quality Assessment of Video , 2010, IEEE Transactions on Image Processing.
[25] Zhou Wang,et al. Perceptual quality assessment of color images using adaptive signal representation , 2010, Electronic Imaging.
[26] Jocelyn Chanussot,et al. Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[27] Alan C. Bovik,et al. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures , 2009, IEEE Signal Processing Magazine.
[28] Jocelyn Chanussot,et al. Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[29] S. Baronti,et al. Multispectral and panchromatic data fusion assessment without reference , 2008 .
[30] V. P. Shah,et al. On the Performance Evaluation of Pan-Sharpening Techniques , 2007, IEEE Geoscience and Remote Sensing Letters.
[31] 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.
[32] A. Mohammadzadeh,et al. Road extraction based on fuzzy logic and mathematical morphology from pan‐sharpened ikonos images , 2006 .
[33] Guy Flouzat,et al. Thematic and statistical evaluations of five panchromatic/multispectral fusion methods on simulated PLEIADES-HR images , 2005, Inf. Fusion.
[34] Luciano Alparone,et al. A global quality measurement of pan-sharpened multispectral imagery , 2004, IEEE Geoscience and Remote Sensing Letters.
[35] D. Roberts,et al. Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models , 2003 .
[36] 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..
[37] Alexander Toet,et al. Perceptual evaluation of different image fusion schemes , 2001, SPIE Defense + Commercial Sensing.
[38] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[39] Nicholas G. Paulter,et al. Tasking on Natural Statistics of Infrared Images , 2016, IEEE Transactions on Image Processing.
[40] Jocelyn Chanussot,et al. A Pansharpening Method Based on the Sparse Representation of Injected Details , 2015, IEEE Geoscience and Remote Sensing Letters.
[41] Johannes R. Sveinsson,et al. A New Pansharpening Algorithm Based on Total Variation , 2014, IEEE Geoscience and Remote Sensing Letters.
[42] Eero P. Simoncelli,et al. Natural image statistics and neural representation. , 2001, Annual review of neuroscience.
[43] Christine Pohl,et al. Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .
[44] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[45] L. Wald,et al. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images , 1997 .
[46] D. Ruderman. The statistics of natural images , 1994 .
[47] P. S. Chavez,et al. Comparison of the spectral information content of Landsat Thematic Mapper and SPOT for three different sites in the Phoenix, Arizona region , 1988 .