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No-reference Quality Assessment for Pansharpened Images via Opinion-unaware Learning

Bingzhong Zhou, Feng Shao, Xiangchao Meng, Randi Fu, Yo-Sung Ho
2019 IEEE Access  
Based on the database, we proposed a no-reference quality assessment method to blindly predict the quality of pansharpened images via opinion-unaware learning.  ...  The high-quality pansharpened image with both high spatial resolution and high spectral fidelity is highly desirable in various applications.  ...  we directly evaluate the quality of full resolution images without down-sampling.  ... 
doi:10.1109/access.2019.2905615 fatcat:zfjrhhtxmncv7igx3tf4t67nim

Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs [article]

Furkan Ozcelik, Ugur Alganci, Elif Sertel, Gozde Unal
2020 arXiv   pre-print
However, they still exhibit limitations in producing high-quality pansharpening outputs.  ...  to existing methods that base their solution solely on producing a super-resolution version of the multispectral image.  ...  for the full resolution pansharpening scenario.  ... 
arXiv:2006.16644v1 fatcat:r56eynxgergkpex6p5ag2477qy

QUALITY ASSESSMENT OF PANSHARPENED RASAT AND LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE

M. A. Günen
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Seven full reference image quality assessment metrics and two referenceless image quality assessment metrics were used to perform quantitative comparison.  ...  Six different pansharpening methods were used to test the success of the synthetic panchromatic data generation method using dataset with two different land use/land cover properties.  ...  In addition to the most frequently used full reference image quality assessment metrics in the literature, a comparison was made with the two methods referenceless image quality assessment.  ... 
doi:10.5194/isprs-archives-xlvi-4-w5-2021-231-2021 fatcat:krspa5vk5bc4hevmmvow6ldj7a

Siamese Networks based Deep Fusion Framework for Multi-source Satellite Imagery

Hannan Adeel, Javaria Tahir, M Mohsin Riaz, Syed Sohaib Ali
2022 IEEE Access  
This study proposes deep siamese network based pansharpening model as a two-stage framework in a multiscale setting.  ...  Experimental work carried out using deep siamese network in multi-scale setting (to obtain inter-band similarity among different sensor data) outperforms several latest pansharpening methods.  ...  REDUCED SCALE FUSION EVALUATION The proposed method is compared for both reduced-scale and full-scale pansharpening assessment. Image quality at high and low resolutions are closely related [43] .  ... 
doi:10.1109/access.2022.3143847 fatcat:24uapkabuzapvhsa6oiapsln6a

Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain

J Duran, A Buades
2019 IEEE Geoscience and Remote Sensing Letters  
Pansharpening techniques aim at fusing low-resolution multispectral (MS) images and high-resolution panchromatic (PAN) images to produce high-resolution MS images.  ...  After applying the Principal Component Analysis (PCA) transform to a pansharpened image, the chromatic components are filtered conditionally to the geometry of PAN.  ...  Experimental Results In this section, we evaluate the performance of the proposed method for restoring pansharpened images.  ... 
doi:10.1109/lgrs.2018.2873654 fatcat:yqz5ylcapvcotjt3budivddplu

Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments

M.M. Khan, L. Alparone, J. Chanussot
2009 IEEE Transactions on Geoscience and Remote Sensing  
The recently proposed index of Quality Not requiring a Reference (QNR) is one among very few tools available for assessing the quality of pansharpened images at the desired high resolution.  ...  In this paper, we propose a method to assess fusion quality at the highest resolution, without requiring a high-resolution reference image.  ...  Since QNR is the only tool available to assess the quality of pansharpened images at the desired high resolution, there is a need for other blind quality-assessment methods that could be used in alternative  ... 
doi:10.1109/tgrs.2009.2029094 fatcat:s62g5yfurzeovdtrokobyld56m

A COMPREHENSIVE REVIEW OF PANSHARPENING ALGORITHMS FOR GÖKTÜRK-2 SATELLITE IMAGES

S. Kahraman, A. Ertürk
2017 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, a comprehensive review and performance evaluation of pansharpening algorithms for GÖKTÜRK-2 images is presented.  ...  In this study, a large number of pansharpening algorithms are implemented and evaluated for performance on multiple GÖKTÜRK-2 satellite images.  ...  The authors would like to thank Turkish Air Force for providing the GÖKTÜRK-2 satellite images.  ... 
doi:10.5194/isprs-annals-iv-4-w4-263-2017 fatcat:pdzkqe6bcjfdhhv2k347nhdrcu

Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions

Ayhan, Kwan
2019 Sensors  
The left Mastcam image's resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method.  ...  The deep learning-based method provided the best performance among the three for both image enhancement and disparity map estimation accuracy.  ...  For this reason, a blind image quality assessment, natural image quality evaluator (NIQE) [39] is used instead. It should be noted that the lower the NIQE metric, the better the image quality is.  ... 
doi:10.3390/s19163526 fatcat:lvi4bxceebaw3pw26fkk2aspxy

Hyperspectral pansharpening: a review [article]

Laetitia Loncan, Luis B. Almeida, José M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel A. Veganzones, Gemine Vivone (+2 others)
2015 arXiv   pre-print
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter.  ...  In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted for hyperspectral  ...  Wald's protocol for assessing the quality of pansharpening methods [79] , depicted in Fig. 2 , synthetically generates simulated observed images from a reference HS image, and then evaluates the pansharpening  ... 
arXiv:1504.04531v1 fatcat:ynyqfuunkjhgrkv3lqmswape4a

The Quality of Remote Sensing Optical Images from Acquisition to Users

Massimo Selva
2021 Remote Sensing  
The need to observe and characterize the environment leads to a constant increase of the spatial, spectral, and radiometric resolution of new optical sensors [...]  ...  The editor is grateful to Remote Sensing Editorial Staff for providing this opportunity and for the constant support. Conflicts of Interest: The author declares no conflict of interest.  ...  Acknowledgments: The editor sincerely wishes to thank the authors who contributed to this Special Issue and the reviewers who dedicated their time for providing valuable and constructive recommendations  ... 
doi:10.3390/rs13071295 fatcat:hmol2im36bat5khs4todsbeuhm

Hyperspectral Pansharpening: A Review

Laetitia Loncan, Luis B. de Almeida, Jose M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simoes, Jean-Yves Tourneret, Miguel Angel Veganzones (+3 others)
2015 IEEE Geoscience and Remote Sensing Magazine  
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter.  ...  In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state of the art methods for multispectral pansharpening, which have been adapted for hyperspectral  ...  Wald's protocol for assessing the quality of pansharpening methods [79] , depicted in Fig. 2 , synthetically generates simulated observed images from a reference HS image, and then evaluates the pansharpening  ... 
doi:10.1109/mgrs.2015.2440094 fatcat:s3lk47aswrbxbnwfxz3qj5m4ae

SUPER-RESOLUTION OF MULTISPECTRAL SATELLITE IMAGES USING CONVOLUTIONAL NEURAL NETWORKS

M. U. Müller, N. Ekhtiari, R. M. Almeida, C. Rieke
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper we propose a method to train state-of-the-art CNNs using pairs of lower-resolution multispectral and high-resolution pan-sharpened image tiles in order to create super-resolved analytic images  ...  The derived quality metrics show that the method improves information content of the processed images. We compare the results created by four CNN architectures, with RedNet30 performing best.  ...  The method can be improved further by creating larger and higher quality training data e.g. by using alternative methods for pansharpening.  ... 
doi:10.5194/isprs-annals-v-1-2020-33-2020 fatcat:4bftk4hf4jevhlejh46oz4sgj4

Remote Sensing Performance Enhancement in Hyperspectral Images

Chiman Kwan
2018 Sensors  
We present a brief review of recent image resolution enhancement algorithms, including single super-resolution and multi-image fusion algorithms, for hyperspectral images.  ...  One popular approach to enhancing the spatial resolution of hyperspectral images is pansharpening.  ...  The other is the full resolution assessment approach [19] . A performance metric known as Quality with No Reference (QNR) has been used.  ... 
doi:10.3390/s18113598 fatcat:dheo2a7h5bdbxegryilvixft7a

Pansharpening Based on Semiblind Deconvolution

Gemine Vivone, Miguel Simoes, Mauro Dalla Mura, Rocco Restaino, Jose M. Bioucas-Dias, Giorgio A. Licciardi, Jocelyn Chanussot
2015 IEEE Transactions on Geoscience and Remote Sensing  
In the first case, the proposed method achieves performances very similar to that of the algorithm that relies upon the full knowledge of the degrading filter.  ...  The effectiveness of the approach is validated both on a reduced scale data set generated by degrading images acquired by the IKONOS sensor and on full-scale data consisting of images collected by the  ...  COEFFICIENT INTERPOLATOR FOR ACHIEVING M TABLE VI FULL VI -SCALE PERFORMANCE EVALUATION USING SAM AND SCC INDEXES FOR EXP, Box, Gauß, AND FE METHODS Available at http://glcf.umiacs.umd.edu  ... 
doi:10.1109/tgrs.2014.2351754 fatcat:c2rp6nwylrb3remcixezt4rlxa

Image Fusion in Remote Sensing Applications: A Review

Vaibhav R.Pandit, R. J. Bhiwani
2015 International Journal of Computer Applications  
This paper is an honest attempt to collectively discuss all possible algorithms along with quality metrics following two assessment procedures i.e. at full and reduced scale resolutions to evaluate performance  ...  images; intended to result in a composite image having both higher spatial and higher spectral resolutions.  ...  Section IV describes quality metrics for the evaluation of image fusion performance based on two assessment procedures operating at reduced and full resolutions.  ... 
doi:10.5120/21263-3846 fatcat:x64eqqgvgzfnrorp6uq5yiedfq
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