12.1.4.10.1 Evaluation, Quality AssissmentPansharpening

Chapter Contents (Back)
Cartography. Remote Sensing. Pansharpening. Pan-Sharpening.
See also Pansharpening, Fusion of Aerial Images.

Alparone, L., Wald, L., Chanussot, J., Thomas, C., Gamba, P., Bruce, L.M.,
Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest,
GeoRS(45), No. 10, October 2007, pp. 3012-3021.
IEEE DOI 0711
Survey, Pan-Sharpening. BibRef

Nikolakopoulos, K.G.[Konstantinos G.],
Comparison of Nine Fusion Techniques for Very High Resolution Data,
PhEngRS(74), No. 5, May 2008, pp. 647-660.
WWW Link. 0804
Survey, Pansharpening. The efficiency of nine fusion techniques: IHS, Modified IHS, PCA, Pansharp, Wavelet, Local Mean Matching, Local Mean and Variance Matching, Brovey, and Miltiplicative for fusion of QuickBird data. BibRef

Thomas, C., Ranchin, T., Wald, L., Chanussot, J.,
Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics,
GeoRS(46), No. 5, May 2008, pp. 1301-1312.
IEEE DOI 0804
Survey, Sensor Fusion. BibRef

Khan, M.M., Alparone, L., Chanussot, J.,
Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments,
GeoRS(47), No. 11, November 2009, pp. 3880-3891.
IEEE DOI 0911
BibRef

Weidner, U.[Uwe], Centeno, J.[Jorge], Silva, A.[Antonio],
Pansharpening Simple Approaches and their Evaluation,
PFG(2009), No. 4, 2009, pp. 317-327.
WWW Link. 1211
BibRef

Samadzadegan, F.[Farhad], Dadras-Javan, F.[Farzaneh],
New Object Level Strategy for Image Fusion Quality Assessment of High Resolution Satellite Imagery,
PFG(2011), No. 3, 2011, pp. 123-133.
WWW Link. 1211
BibRef
Earlier: A2, A1:
Evaluating the potential of image quality metrics for quality assessment of high resolution pan-sharpen satellite imagery in urban area,
CGC10(189).
PDF File. 1006
BibRef

Jarihani, A.A.[Abdollah A.], McVicar, T.R.[Tim R.], van Niel, T.G.[Thomas G.], Emelyanova, I.V.[Irina V.], Callow, J.N.[John N.], Johansen, K.[Kasper],
Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of 'Index-then-Blend' and 'Blend-then-Index' Approaches,
RS(6), No. 10, 2014, pp. 9213-9238.
DOI Link 1411
BibRef

Vivone, G., Alparone, L., Chanussot, J., Mura, M.D.[M. Dalla], Garzelli, A., Licciardi, G.A., Restaino, R., Wald, L.,
A Critical Comparison Among Pansharpening Algorithms,
GeoRS(53), No. 5, May 2015, pp. 2565-2586.
IEEE DOI 1502
image fusion BibRef

Aiazzi, B.[Bruno], Alparone, L.[Luciano], Baronti, S.[Stefano], Carlŕ, R., Garzelli, A.[Andrea], Santurri, L.,
Sensitivity of Pansharpening Methods to Temporal and Instrumental Changes Between Multispectral and Panchromatic Data Sets,
GeoRS(55), No. 1, January 2017, pp. 308-319.
IEEE DOI 1701
data acquisition
See also Multispectral and Panchromatic Data Fusion Assessment Without Reference. BibRef

Javan, F.D.[Farzaneh Dadras], Samadzadegan, F.[Farhad], Reinartz, P.[Peter],
Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric,
RS(5), No. 12, 2013, pp. 6539-6559.
DOI Link 1402
BibRef

Palubinskas, G.[Gintautas],
Joint Quality Measure for Evaluation of Pansharpening Accuracy,
RS(7), No. 7, 2015, pp. 9292.
DOI Link 1506
BibRef

Carla, R., Santurri, L., Aiazzi, B., Baronti, S.,
Full-Scale Assessment of Pansharpening Through Polynomial Fitting of Multiscale Measurements,
GeoRS(53), No. 12, December 2015, pp. 6344-6355.
IEEE DOI 1512
geophysical image processing BibRef

Palsson, F., Sveinsson, J.R., Ulfarsson, M.O., Benediktsson, J.A.,
Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis,
GeoRS(54), No. 3, March 2016, pp. 1247-1259.
IEEE DOI 1603
Indexes BibRef

Dou, W.[Wen],
Image Degradation for Quality Assessment of Pan-Sharpening Methods,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Vivone, G., Restaino, R., Chanussot, J.,
A Bayesian Procedure for Full-Resolution Quality Assessment of Pansharpened Products,
GeoRS(56), No. 8, August 2018, pp. 4820-4834.
IEEE DOI 1808
Bayes methods, geophysical image processing, image fusion, image resolution, Kalman filters, remote sensing, remote sensing BibRef

Carrasco, L.[Luis], O'Neil, A.W.[Aneurin W.], Morton, R.D.[R. Daniel], Rowland, C.S.[Clare S.],
Evaluating Combinations of Temporally Aggregated Sentinel-1, Sentinel-2 and Landsat 8 for Land Cover Mapping with Google Earth Engine,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Huryna, H.[Hanna], Cohen, Y.[Yafit], Karnieli, A.[Arnon], Panov, N.[Natalya], Kustas, W.P.[William P.], Agam, N.[Nurit],
Evaluation of TsHARP Utility for Thermal Sharpening of Sentinel-3 Satellite Images Using Sentinel-2 Visual Imagery,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Wang, T., Fang, F., Li, F., Zhang, G.,
High-Quality Bayesian Pansharpening,
IP(28), No. 1, January 2019, pp. 227-239.
IEEE DOI 1810
Bayes methods, Spatial resolution, Image fusion, Multiresolution analysis, Wavelet transforms, Pansharpening, alternating direction method of multipliers BibRef

Marcello, J., Ibarrola-Ulzurrun, E., Gonzalo-Martín, C., Chanussot, J., Vivone, G.,
Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery,
GeoRS(57), No. 10, October 2019, pp. 8208-8222.
IEEE DOI 1910
ecology, geophysical image processing, geophysics computing, image fusion, image processing, image registration, pansharpening BibRef

Xiong, Y.M.[Yi-Ming], Shao, F.[Feng], Meng, X.C.[Xiang-Chao], Jiang, Q.P.[Qiu-Ping], Sun, W.W.[Wei-Wei], Fu, R.D.[Ran-Di], Ho, Y.S.[Yo-Sung],
A large-scale remote sensing database for subjective and objective quality assessment of pansharpened images,
JVCIR(73), 2020, pp. 102947.
Elsevier DOI 2012
Pansharpened image quality assessment, Pansharpened Remote Sensing Image Quality Database (PRSIQD), Remote sensing BibRef

Fu, Z.Q.[Zhen-Qi], Shao, F.[Feng], Jiang, Q.P.[Qiu-Ping], Meng, X.C.[Xiang-Chao], Ho, Y.S.[Yo-Sung],
Subjective and Objective Quality Assessment for Stereoscopic Image Retargeting,
MultMed(23), 2021, pp. 2100-2113.
IEEE DOI 2107
Stereo image processing, Databases, Measurement, Quality assessment, Visualization, Strain, information loss BibRef

Dadrass Javan, F.[Farzaneh], Samadzadegan, F.[Farhad], Mehravar, S.[Soroosh], Toosi, A.[Ahmad], Khatami, R.[Reza], Stein, A.[Alfred],
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery,
PandRS(171), 2021, pp. 101-117.
Elsevier DOI 2012
Survey, Pansharpening. Image fusion, Pan-sharpening, Spectral and spatial quality BibRef

Arienzo, A.[Alberto], Aiazzi, B.[Bruno], Alparone, L.[Luciano], Garzelli, A.[Andrea],
Reproducibility of Pansharpening Methods and Quality Indexes versus Data Formats,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Lacerda, L.N.[Lorena N.], Cohen, Y.[Yafit], Snider, J.[John], Huryna, H.[Hanna], Liakos, V.[Vasileios], Vellidis, G.[George],
Field Scale Assessment of the TsHARP Technique for Thermal Sharpening of MODIS Satellite Images Using VENµS and Sentinel-2-Derived NDVI,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Stepien, I.[Igor], Oszust, M.[Mariusz],
No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Scarpa, G.[Giuseppe], Ciotola, M.[Matteo],
Full-Resolution Quality Assessment for Pansharpening,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Huang, L.P.[Le-Ping], Hu, Z.W.[Zhong-Wen], Luo, X.[Xin], Zhang, Q.[Qian], Wang, J.Z.[Jing-Zhe], Wu, G.F.[Guo-Feng],
Stepwise Fusion of Hyperspectral, Multispectral and Panchromatic Images with Spectral Grouping Strategy: A Comparative Study Using GF5 and GF1 Images,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef


He, X.[Xuanhua], Yan, K.Y.[Ke-Yu], Li, R.[Rui], Xie, C.J.[Cheng-Jun], Zhang, J.[Jie], Zhou, M.[Man],
Pyramid Dual Domain Injection Network for Pan-sharpening,
ICCV23(12862-12871)
IEEE DOI 2401
BibRef

Günen, M.A.,
Quality Assessment of Pansharpened Rasat and Landsat-8 Images Using Synthetic Sentinel-2 Panchromatic Image,
SmartCityApp21(231-234).
DOI Link 2201
BibRef

Aghapour Maleki, S., Ghassemian, H.,
A Critical Review of Quality Assessment Protocols in Pan-sharpening,
SMPR19(13-18).
DOI Link 1912
BibRef

Dadras Javan, F., Samadzadegan, F., Mehravar, S., Toosi, A.,
A Review On Spatial Quality Assessment Methods for Evaluation Of Pan-sharpened Satellite Imagery,
SMPR19(255-261).
DOI Link 1912
BibRef

Matsuoka, M.,
Comparison of the Spectral Properties Of Pansharpened Images Generated from AVNIR-2 and Prism Onboard Alos,
AnnalsPRS(I-7), No. 2012, pp. 291-296.
DOI Link 1209
BibRef

Reulke, R., Baltrusch, S., Brunn, A., Komp, K., Kresse, W., von Schönermark, M., Spreckels, V.,
Photogrammetry And Remote Sensing: New German Standards (DIN) Setting Quality Requirements Of Products Generated By Digital Cameras, Pan-sharpening And Classification,
ISPRS12(XXXIX-B4:549-552).
DOI Link 1209
BibRef

Matsuoka, M.,
The Influence Of Spectral Wavelength On The Quality Of Pansharpened Image Simulated Using Hyperspectral Data,
AnnalsPRS(I-7), No. 2012, pp. 297-302.
DOI Link 1209
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Fusion of Medical Data, Medical Image Fusion .


Last update:Jan 30, 2024 at 20:33:16