15.2.12.13 Atmospheric Corrections for Remote Sensing, Satellite and Space Images

Lira, J., Oliver, A.,
A Diffusion Model to Correct Multi-Spectral Images for the Path-Radiance Atmospheric Effect,
PDA83(385-403). BibRef 8300

Steyn-Ross, M.L., Steyn-Ross, D.A., Jelenak, A.,
Comparison of atmospheric correction algorithms for deriving sea surface temperature from AVHRR,
JRS(20), No. 18, December 1999, pp. 3515. BibRef 9912

Ouaidrari, H.,
Operational atmospheric correction of Landsat TM data,
RSE(70), No. 1, 1999, pp. 4-15. 9910
BibRef

Gu, D., Gillespie, A.R., Kahle, A.B., Palluconi, F.D.,
Autonomous Atmospheric Compensation (AAC) of High Resolution Hyperspectral Thermal Infrared Remote-Sensing Imagery,
GeoRS(38), No. 6, November 2000, pp. 2557-2570.
IEEE Top Reference. 0011
BibRef

Liang, S.L.[Shun-Lin], Fang, H.L.[Hong-Liang], Chen, M.Z.[Ming-Zhen],
Atmospheric correction of landsat ETM+ land surface imagery Part I: Methods,
GeoRS(39), No. 11, November 2001, pp. 2490-2498.
IEEE Top Reference. 0111
BibRef

Liang, S.L.[Shun-Lin], Fang, H.L.[Hong-Liang], Morisette, J.T., Chen, M.Z.[Ming-Zhen], Shuey, C.J., Walthall, C.L., Daughtry, C.S.T.,
Atmospheric correction of landsat ETM+ land surface imagery Part II: Validation and Applications,
GeoRS(40), No. 12, December 2002, pp. 2736-2746.
IEEE Top Reference. 0301
BibRef

Strow, L.L., Hannon, S.E., Weiler, M., Overoye, K., Gaiser, S.L., Aumann, H.H.,
Prelaunch spectral calibration of the atmospheric infrared sounder (AIRS),
GeoRS(41), No. 2, February 2003, pp. 274-286.
IEEE Top Reference. 0304
BibRef

Gaiser, S.L., Aumann, H.H., Strow, L.L., Hannon, S.E., Weiler, M.,
In-flight spectral calibration of the atmospheric infrared sounder,
GeoRS(41), No. 2, February 2003, pp. 287-297.
IEEE Top Reference. 0304
BibRef

Pagano, T.S., Aumann, H.H., Hagan, D.E., Overoye, K.,
Prelaunch and in-flight radiometric calibration of the atmospheric infrared sounder (AIRS),
GeoRS(41), No. 2, February 2003, pp. 265-273.
IEEE Top Reference. 0304
BibRef

Song, J.[Jie], Lu, D.J.[Duan-Jun], Wesely, M.L.,
A Simplified Atmospheric Correction Procedure for the Normalized Difference Vegetation Index,
PhEngRS(69), No. 5, May 2003, pp. 521-528. Make atmospheric corrections to surface reflectances observed from a satellite by using the unique spectral signature of water pixels.
WWW Link. 0307
BibRef

Cairns, B., Carlson, B.E., Ying, R.[Ruoxian], Lacis, A.A., Oinas, V.,
Atmospheric Correction and Its Application to an Analysis of Hyperion Data,
GeoRS(41), No. 6, June 2003, pp. 1232-1244.
IEEE Abstract. 0308
BibRef

Tonooka, H., Palluconi, F.D.,
Validation of ASTER/TIR Standard Atmospheric Correction Using Water Surfaces,
GeoRS(43), No. 12, December 2005, pp. 2769-2777.
IEEE DOI 0512
BibRef

Tonooka, H.,
Accurate Atmospheric Correction of ASTER Thermal Infrared Imagery Using the WVS Method,
GeoRS(43), No. 12, December 2005, pp. 2778-2792.
IEEE DOI 0512
BibRef

Marion, R., Michel, R., Faye, C.,
Atmospheric Correction of Hyperspectral Data Over Dark Surfaces via Simulated Annealing,
GeoRS(44), No. 6, June 2006, pp. 1566-1574.
IEEE DOI 0606
BibRef

Mahiny, A.S.[Abdolrassoul S.], Turner, B.J.[Brian J.],
A Comparison of Four Common Atmospheric Correction Methods,
PhEngRS(73), No. 4, April 2007, pp. 361-368.
WWW Link. 0704
An evaluation of the performance of atmospheric correction methods for satellite imagery. BibRef

Philpot, W.,
Estimating Atmospheric Transmission and Surface Reflectance From a Glint-Contaminated Spectral Image,
GeoRS(45), No. 2, February 2007, pp. 448-457.
IEEE DOI 0703
BibRef

Gao, B.C., Montes, M.J., Li, R.R., Dierssen, H.M., Davis, C.O.,
An Atmospheric Correction Algorithm for Remote Sensing of Bright Coastal Waters Using MODIS Land and Ocean Channels in the Solar Spectral Region,
GeoRS(45), No. 6, June 2007, pp. 1835-1843.
IEEE DOI 0706
BibRef

Du, Q., Fowler, J.E., Zhu, W.,
On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery,
GeoRS(47), No. 1, January 2009, pp. 130-132.
IEEE DOI 0901
BibRef

Ellicott, E., Vermote, E., Petitcolin, F., Hook, S.J.,
Validation of a New Parametric Model for Atmospheric Correction of Thermal Infrared Data,
GeoRS(47), No. 1, January 2009, pp. 295-311.
IEEE DOI 0901
BibRef

Schwind, P., Schneider, M., Palubinskas, G., Storch, T., Muller, R., Richter, R.,
Processors for ALOS Optical Data: Deconvolution, DEM Generation, Orthorectification, and Atmospheric Correction,
GeoRS(47), No. 12, December 2009, pp. 4074-4082.
IEEE DOI 0912
BibRef

Davranche, A.[Aurélie], Lefebvre, G.[Gaëtan], Poulin, B.[Brigitte],
Radiometric Normalization of SPOT-5 Scenes: 6S Atmospheric Model versus Pseudo-invariant Features,
PhEngRS(75), No. 6, June 2009, pp. 723-728.
WWW Link. 0910
The 6S code provides a significantly lower radiometric variation (2.8 percent) than the use of pseudo-invariant features (4.1 percent), which remains a valid approach with only a few carefully selected invariant sectors. BibRef

Richter, R., Schlapfer, D., Muller, A.,
Operational Atmospheric Correction for Imaging Spectrometers Accounting for the Smile Effect,
GeoRS(49), No. 5, May 2011, pp. 1772-1780.
IEEE DOI 1105
BibRef

Semenov, A.A., Moshkov, A.V., Pozhidayev, V.N., Barducci, A., Marcoionni, P., Pippi, I.,
Estimation of Normalized Atmospheric Point Spread Function and Restoration of Remotely Sensed Images,
GeoRS(49), No. 7, July 2011, pp. 2623-2634.
IEEE DOI 1107
BibRef

Miura, T., Turner, J.P., Huete, A.R.,
Spectral Compatibility of the NDVI Across VIIRS, MODIS, and AVHRR: An Analysis of Atmospheric Effects Using EO-1 Hyperion,
GeoRS(51), No. 3, March 2013, pp. 1349-1359.
IEEE DOI 1303
BibRef

Stangier, T.[Tobias], Sonnabend, G.[Guido], Sornig, M.[Manuela],
Compact Setup of a Tunable Heterodyne Spectrometer for Infrared Observations of Atmospheric Trace-Gases,
RS(5), No. 7, 2013, pp. 3397-3414.
DOI Link 1308
BibRef

Philpot, W.[William], Ansty, T.[Todd],
Analytical Description of Pseudoinvariant Features,
GeoRS(51), No. 4, April 2013, pp. 2016-2021.
IEEE DOI 1304
BibRef
Earlier:
Analytical description of pseudo-invariant features (PIFs),
MultiTemp11(53-56).
IEEE DOI 1109
For atmospheric normalization. BibRef

Das, N.N., Colliander, A., Chan, S.K., Njoku, E.G., Li, L.[Li],
Intercomparisons of Brightness Temperature Observations Over Land From AMSR-E and WindSat,
GeoRS(52), No. 1, January 2014, pp. 452-464.
IEEE DOI 1402
atmospheric radiation BibRef

Dobler, J.[Jeremy], Braun, M.[Michael], Blume, N.[Nathan], Zaccheo, T.S.[T. Scott],
A New Laser Based Approach for Measuring Atmospheric Greenhouse Gases,
RS(5), No. 12, 2013, pp. 6284-6304.
DOI Link 1402
BibRef

Zhang, M., Ma, R., Li, J., Zhang, B., Duan, H.,
A Validation Study of an Improved SWIR Iterative Atmospheric Correction Algorithm for MODIS-Aqua Measurements in Lake Taihu, China,
GeoRS(52), No. 8, August 2014, pp. 4686-4695.
IEEE DOI 1403
Aerosols BibRef

Chen, J., Cui, T., Lin, C.,
An Improved SWIR Atmospheric Correction Model: A Cross-Calibration-Based Model,
GeoRS(52), No. 7, July 2014, pp. 3959-3967.
IEEE DOI 1403
Aerosols BibRef

Black, M.[Martin], Fleming, A.[Andrew], Riley, T.[Teal], Ferrier, G.[Graham], Fretwell, P.[Peter], McFee, J.[John], Achal, S.[Stephen], Diaz, A.U.[Alejandra Umana],
On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data,
RS(6), No. 5, 2014, pp. 4498-4514.
DOI Link 1407
BibRef

Chang, L.[Liang], Jin, S.G.[Shuang-Gen], He, X.F.[Xiu-Feng],
Assessment of InSAR Atmospheric Correction Using Both MODIS Near-Infrared and Infrared Water Vapor Products,
GeoRS(52), No. 9, Sept 2014, pp. 5726-5735.
IEEE DOI 1407
atmospheric humidity BibRef

Liu, C., Liu, G., Lin, T., Liu, C., Ren, H., Young, C.,
Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments,
GeoRS(52), No. 11, November 2014, pp. 6957-6963.
IEEE DOI 1407
Atmospheric measurements BibRef

Vladutescu, D.V., Madhavan, B.L., Gross, B.M., Aguirre, A., Moshary, F., Ahmed, S.A., Razani, M., Blake, R.A.,
Assessment of Langley and NASA-GISS Calibration Techniques for MFRSR Aerosol Retrieval,
GeoRS(52), No. 9, Sept 2014, pp. 5880-5894.
IEEE DOI 1407
aerosols BibRef

Pacifici, F., Longbotham, N., Emery, W.J.,
The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images,
GeoRS(52), No. 10, October 2014, pp. 6241-6256.
IEEE DOI 1407
Atmospheric measurements BibRef

Katsurai, M., Ogawa, T., Haseyama, M.,
A Cross-Modal Approach for Extracting Semantic Relationships Between Concepts Using Tagged Images,
MultMed(16), No. 4, June 2014, pp. 1059-1074.
IEEE DOI 1407
Atmospheric measurements BibRef

Chen, L.[Liujia], Yu, B.L.[Bai-Lang], Chen, Z.Q.[Zuo-Qi], Li, B.L.[Bai-Liang], Wu, J.P.[Jian-Ping],
Investigating the Temporal and Spatial Variability of Total Ozone Column in the Yangtze River Delta Using Satellite Data: 1978-2013,
RS(6), No. 12, 2014, pp. 12527-12543.
DOI Link 1412
BibRef

Hagolle, O.[Olivier], Huc, M.[Mireille], Pascual, D.V.[David Villa], Dedieu, G.[Gerard],
A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENµS and Sentinel-2 Images,
RS(7), No. 3, 2015, pp. 2668-2691.
DOI Link 1504
BibRef

Ozsarac, S., Akar, G.B.,
Atmospheric Effects Removal for the Infrared Image Sequences,
GeoRS(53), No. 9, September 2015, pp. 4899-4909.
IEEE DOI 1506
Atmospheric measurements BibRef

Daumard, F., Goulas, Y., Ounis, A., Pedros, R., Moya, I.,
Measurement and Correction of Atmospheric Effects at Different Altitudes for Remote Sensing of Sun-Induced Fluorescence in Oxygen Absorption Bands,
GeoRS(53), No. 9, September 2015, pp. 5180-5196.
IEEE DOI 1506
Absorption BibRef

Bue, B.D., Thompson, D.R., Eastwood, M., Green, R.O., Gao, B.C.[Bo-Cai], Keymeulen, D., Sarture, C.M., Mazer, A.S., Luong, H.H.,
Real-Time Atmospheric Correction of AVIRIS-NG Imagery,
GeoRS(53), No. 12, December 2015, pp. 6419-6428.
IEEE DOI 1512
interpolation BibRef

Mateus, P., Nico, G., Catalao, J.,
Uncertainty Assessment of the Estimated Atmospheric Delay Obtained by a Numerical Weather Model (NMW),
GeoRS(53), No. 12, December 2015, pp. 6710-6717.
IEEE DOI 1512
atmospheric techniques BibRef

Zhao, L.L.[Li-Long], Xu, J.J.[Jian-Jun], Powell, A.M.[Alfred M.], Jiang, Z.H.[Zhi-Hong], Wang, D.H.[Dong-Hai],
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations,
RS(8), No. 1, 2016, pp. 13.
DOI Link 1602
BibRef

Mao, Z.H.[Zhi-Hua], Pan, D.[Delu], He, X.Q.[Xian-Qiang], Chen, J.Y.[Jian-Yu], Tao, B.Y.[Bang-Yi], Chen, P.[Peng], Hao, Z.Z.[Zeng-Zhou], Bai, Y.[Yan], Zhu, Q.K.[Qian-Kun], Huang, H.Q.[Hai-Qing],
A Unified Algorithm for the Atmospheric Correction of Satellite Remote Sensing Data over Land and Ocean,
RS(8), No. 7, 2016, pp. 536.
DOI Link 1608
BibRef

Stamnas, E.[Erasmia], Lammert, A.[Andrea], Winkelmann, V.[Volker], Lang, U.[Ulrich],
The HD(CP)2 Data Archive for Atmospheric Measurement Data,
IJGI(5), No. 7, 2016, pp. 124.
DOI Link 1608
BibRef

Wang, D.[Dandan], Chen, Y.H.[Yun-Hao], Wang, M.J.[Meng-Jie], Quan, J.L.[Jing-Ling], Jiang, T.[Tao],
A New Neighboring Pixels Method for Reducing Aerosol Effects on the NDVI Images,
RS(8), No. 6, 2016, pp. 489.
DOI Link 1608
BibRef

Jiang, H.[Hou], Lu, N.[Ning], Yao, L.[Ling],
A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images,
RS(8), No. 10, 2016, pp. 844.
DOI Link 1609
BibRef

Jiang, H.[Hou], Lu, N.[Ning],
Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Ji, D.B.[Da-Bin], Shi, J.C.[Jian-Cheng], Letu, H.[Husi], Wang, T.X.[Tian-Xing], Zhao, T.J.[Tian-Jie],
Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Bru, D.[Driss], Lubac, B.[Bertrand], Normandin, C.[Cassandra], Robinet, A.[Arthur], Leconte, M.[Michel], Hagolle, O.[Olivier], Martiny, N.[Nadège], Jamet, C.[Cédric],
Atmospheric Correction of Multi-Spectral Littoral Images Using a PHOTONS/AERONET-Based Regional Aerosol Model,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Gao, B.C.[Bo-Cai], Li, R.R.[Rong-Rong],
Removal of Thin Cirrus Scattering Effects in Landsat 8 OLI Images Using the Cirrus Detecting Channel,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Rankin, B.M., Meola, J., Eismann, M.T.,
Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification,
GeoRS(55), No. 12, December 2017, pp. 6726-6735.
IEEE DOI 1712
Atmospheric modeling, Computational modeling, Hyperspectral imaging, Mathematical model, Object detection, target identification BibRef

Zhang, M., Hu, C., Kowalewski, M.G., Janz, S.J.,
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf,
GeoRS(56), No. 1, January 2018, pp. 168-179.
IEEE DOI 1801
calibration, hyperspectral imaging, radiative transfer, remote sensing, underwater optics, AD 2013 09, AD 2015 11, remote sensing BibRef

Jaanson, P., Bialek, A., Greenwell, C., Montynen, H., Widlowski, J.L., Manoocheri, F., Lassila, A., Fox, N., Ikonen, E.,
Toward SI Traceability of a Monte Carlo Radiative Transfer Model in the Visible Range,
GeoRS(56), No. 3, March 2018, pp. 1360-1373.
IEEE DOI 1804
Monte Carlo methods, atmospheric optics, radiative transfer, ray tracing, remote sensing, uncertainty BibRef

Meng, X.C.[Xiang-Chen], Cheng, J.[Jie],
Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor: Application to Landsat 8 TIRS10 Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wang, Z.[Zhan], Du, P.A.[Ping-An], Liu, J.[Jian],
A Color Restoration Method for Irreversible Thermal Paint Based on Atmospheric Scattering Model,
IEICE(E101-D), No. 3, March 2018, pp. 826-829.
WWW Link. 1804
BibRef

Doxani, G.[Georgia], Vermote, E.[Eric], Roger, J.C.[Jean-Claude], Gascon, F.[Ferran], Adriaensen, S.[Stefan], Frantz, D.[David], Hagolle, O.[Olivier], Hollstein, A.[André], Kirches, G.[Grit], Li, F.[Fuqin], Louis, J.[Jérôme], Mangin, A.[Antoine], Pahlevan, N.[Nima], Pflug, B.[Bringfried], Vanhellemont, Q.[Quinten],
Atmospheric Correction Inter-Comparison Exercise,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Zhu, S.J.[Si-Jie], Lei, B.[Bin], Wu, Y.R.[Yi-Rong],
Retrieval of Hyperspectral Surface Reflectance Based on Machine Learning,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Scheirer, R.[Ronald], Dybbroe, A.[Adam], Raspaud, M.[Martin],
A General Approach to Enhance Short Wave Satellite Imagery by Removing Background Atmospheric Effects,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Wang, M., Jiang, L.,
Atmospheric Correction Using the Information From the Short Blue Band,
GeoRS(56), No. 10, October 2018, pp. 6224-6237.
IEEE DOI 1810
Oceans, Image color analysis, Aerosols, Sea measurements, Satellites, Atmospheric measurements, Water pollution, Visible Infrared Imaging Radiometer Suite (VIIRS) BibRef

Pellet, V., Aires, F.,
Bottleneck Channels Algorithm for Satellite Data Dimension Reduction: A Case Study for IASI,
GeoRS(56), No. 10, October 2018, pp. 6069-6081.
IEEE DOI 1810
Instruments, Atmospheric measurements, Covariance matrices, Gases, Atmospheric modeling, Dimensionality reduction, sampling BibRef

Hu, Z., Mallorquí, J.J., Fan, H.,
Atmospheric Artifacts Correction With a Covariance-Weighted Linear Model Over Mountainous Regions,
GeoRS(56), No. 12, December 2018, pp. 6995-7008.
IEEE DOI 1812
Atmospheric modeling, Delays, Strain, Synthetic aperture radar, Estimation, Surfaces, Data models, Atmospheric phase screen (APS), synthetic aperture radar (SAR) BibRef

Katkovsky, L.V.[Leonid V.], Martinov, A.O.[Anton O.], Siliuk, V.A.[Volha A.], Ivanov, D.A.[Dimitry A.], Kokhanovsky, A.A.[Alexander A.],
Fast Atmospheric Correction Method for Hyperspectral Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Gossn, J.I.[Juan Ignacio], Ruddick, K.G.[Kevin George], Dogliotti, A.I.[Ana Inés],
Atmospheric Correction of OLCI Imagery over Extremely Turbid Waters Based on the Red, NIR and 1016 nm Bands and a New Baseline Residual Technique,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ilori, C.O.[Christopher O.], Pahlevan, N.[Nima], Knudby, A.[Anders],
Analyzing Performances of Different Atmospheric Correction Techniques for Landsat 8: Application for Coastal Remote Sensing,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Kedzierski, M.[Michal], Wierzbicki, D.[Damian], Sekrecka, A.[Aleksandra], Fryskowska, A.[Anna], Walczykowski, P.[Piotr], Siewert, J.[Jolanta],
Influence of Lower Atmosphere on the Radiometric Quality of Unmanned Aerial Vehicle Imagery,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Santini, F.[Federico], Palombo, A.[Angelo],
Physically Based Approach for Combined Atmospheric and Topographic Corrections,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Palombo, A.[Angelo], Santini, F.[Federico],
ImaAtCor: A Physically Based Tool for Combined Atmospheric and Topographic Corrections of Remote Sensing Images,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef
And: Correction: RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Du, W.H.[Wen-Hui], Qin, Z.H.[Zhi-Hao], Fan, J.L.[Jin-Long], Gao, M.F.[Mao-Fang], Wang, F.[Fei], Abbasi, B.[Bilawal],
An Efficient Approach to Remove Thick Cloud in VNIR Bands of Multi-Temporal Remote Sensing Images,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Pereira-Sandoval, M.[Marcela], Ruescas, A.[Ana], Urrego, P.[Patricia], Ruiz-Verdú, A.[Antonio], Delegido, J.[Jesús], Tenjo, C.[Carolina], Soria-Perpinyà, X.[Xavier], Vicente, E.[Eduardo], Soria, J.[Juan], Moreno, J.[José],
Evaluation of Atmospheric Correction Algorithms over Spanish Inland Waters for Sentinel-2 Multi Spectral Imagery Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Minarík, R.[Robert], Langhammer, J.[Jakub], Hanuš, J.[Jan],
Radiometric and Atmospheric Corrections of Multispectral µMCA Camera for UAV Spectroscopy,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Li, X., Yang, L., Su, X., Hu, Z., Chen, F.,
A Correction Method for Thermal Deformation Positioning Error of Geostationary Optical Payloads,
GeoRS(57), No. 10, October 2019, pp. 7986-7994.
IEEE DOI 1910
artificial satellites, calibration, cameras, error correction, position control, remote sensing, sunlight, spatial thermal deformation (STD) BibRef

Shi, Y.[Yu], Hong, H.Y.[Han-Yu], Hua, X.[Xia], Zhang, T.X.[Tian-Xu],
Aero-optic thermal radiation effects correction with a low-frequency prior and a sparse constraint in the gradient domain,
JOSA-A(36), No. 9, September 2019, pp. 1566-1572.
DOI Link 1912
Fast Fourier transforms, Fourier transforms, Image enhancement, Image quality, Signal processing, Thermal effects BibRef

Zhong, B.[Bo], Wu, S.L.[Shan-Long], Yang, A.[Aixia], Ao, K.[Kai], Wu, J.H.[Jin-Hua], Wu, J.J.[Jun-Jun], Gong, X.S.[Xue-Shuang], Wang, H.B.[Hai-Bo], Liu, Q.H.[Qin-Huo],
An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Zhang, M., Hu, C.,
Evaluation of Remote Sensing Reflectance Derived From the Sentinel-2 Multispectral Instrument Observations Using POLYMER Atmospheric Correction,
GeoRS(58), No. 8, August 2020, pp. 5764-5771.
IEEE DOI 2007
MODIS, Polymers, Sea measurements, Spatial resolution, Uncertainty, Atmospheric measurements, Sun, AERONET-OC, atmospheric correction, Sentinel-2 BibRef

Wang, X.Y.[Xin-Yang], Hu, T.W.[Tian-Wei], Li, D.[Dekui], Guo, K.[Kai], Gao, J.[Jun], Guo, Z.Y.[Zhong-Yi],
Performances of Polarization-Retrieve Imaging in Stratified Dispersion Media,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
Atmospheric imaging model. BibRef

Kalukin, A.[Andrew], Endo, S.[Satoshi], Crook, R.[Russell], Mahajan, M.[Manoj], Fennimore, R.[Robert], Cialella, A.[Alice], Gregory, L.[Laurie], Yoo, S.[Shinjae], Xu, W.[Wei], Cisek, D.[Daniel],
Image Collection Simulation Using High-Resolution Atmospheric Modeling,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Milani, L., Arcorace, M., Rivolta, G., Cuccu, R., Marzano, F.S.,
Clear-Air Anomaly Masking Using Kalman Temporal Filter From Geostationary Multispectral Imagery,
GeoRS(58), No. 11, November 2020, pp. 7908-7919.
IEEE DOI 2011
Kalman filters, Satellite broadcasting, Computational modeling, Indexes, Remote sensing, Spatial resolution, Earth, visible-infrared (VIS-IR) measurements BibRef

Ho, S.P.[Shu-Peng], Zhou, X.[Xinjia], Shao, X.[Xi], Zhang, B.[Bin], Adhikari, L.[Loknath], Kireev, S.[Stanislav], He, Y.X.[Yu-Xiang], Yoe, J.G.[James G.], Xia-Serafino, W.[Wei], Lynch, E.[Erin],
Initial Assessment of the COSMIC-2/FORMOSAT-7 Neutral Atmosphere Data Quality in NESDIS/STAR Using In Situ and Satellite Data,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wright, L.A., Kindel, B.C., Pilewskie, P., Leisso, N.P., Kampe, T.U., Schmidt, K.S.,
Below-Cloud Atmospheric Correction of Airborne Hyperspectral Imagery Using Simultaneous Solar Spectral Irradiance Observations,
GeoRS(59), No. 2, February 2021, pp. 1392-1409.
IEEE DOI 2101
Atmospheric modeling, Atmospheric measurements, Clouds, Aircraft, Biological system modeling, Instruments, Surface topography, imaging spectroscopy BibRef

Pancorbo, J.L., Lamb, B.T., Quemada, M., Hively, W.D., Gonzalez-Fernandez, I., Molina, I.,
Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements,
PandRS(173), 2021, pp. 166-180.
Elsevier DOI 2102
Land cover monitoring, NDVI, Satellite imagery, Surface reflectance, Vegetation monitoring, View angle BibRef

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Elsevier DOI 2103
Hyperspectral, Deep learning, Atmospheric correction, Neural network, Reflectivity BibRef

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Effect of Different Atmospheric Correction Algorithms on Sentinel-2 Imagery Classification Accuracy in a Semiarid Mediterranean Area,
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Katsev, I.L.[Iosif L.], Prikhach, A.S.[Alexander S.], Zege, E.P.[Eleonora P.], Kokhanovsky, A.A.[Alexander A.],
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Li, F.[Fuqin], Jupp, D.L.B.[David L. B.], Schroeder, T.[Thomas], Sagar, S.[Stephen], Sixsmith, J.[Joshua], Dorji, P.[Passang],
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Li, D.X.[De-Xin], Dong, Z.[Zhen], Yu, A.X.[An-Xi], Zhang, Y.S.[Yong-Sheng], Zhang, Q.[Qilei], He, F.[Feng], Wu, M.Q.[Man-Qing],
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IEEE DOI 2106
Delays, Synthetic aperture radar, Azimuth, Estimation, Data models, Interferometry, Atmospheric modeling, Autofocus, tropospheric propagation BibRef

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Global clear sky near-surface imagery from multiple satellite daily imagery time series,
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Elsevier DOI 2109
Remote sensing, Surface feature, True color, False color, VIIRS, Sentinel-3 OLCI, Landsat BibRef

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Mitigating Atmospheric Effects in InSAR Stacking Based on Ensemble Forecasting with a Numerical Weather Prediction Model,
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Yang, M.M.[Meng-Meng], Hu, Y.[Yong], Tian, H.Z.[Hong-Zhen], Khan, F.A.[Faisal Ahmed], Liu, Q.P.[Qin-Ping], Goes, J.I.[Joaquim I.], do R. Gomes, H.[Helga], Kim, W.[Wonkook],
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Wang, W.[Weile], Wang, Y.[Yujie], Lyapustin, A.[Alexei], Hashimoto, H.[Hirofumi], Park, T.[Taejin], Michaelis, A.[Andrew], Nemani, R.[Ramakrishna],
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Camera Calibration Using Calibration Object, or Known Features .