Acta Optica Sinica, Volume. 44, Issue 6, 0601006(2024)
Optimized 6S Model Atmospheric Correction Method Combined with NCEP Reanalysis Data
[1] Guo Y C, Cao J L, Han Y Y et al. Hyperspectral target tracking based on spectral matching dimensionality reduction and feature fusion[J]. Acta Optica Sinica, 43, 2012002(2023).
[2] Zhang S N, Zhang H, Zhang B et al. An improved Fmask algorithm for cloud detection applied to hyperspectral satellite[J]. Acta Optica Sinica, 43, 2428009(2023).
[3] Mou L C, Bruzzone L, Zhu X X. Learning spectral-spatial-temporal features via a recurrent convolutional neural network for change detection in multispectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 924-935(2018).
[4] Li Y, Jin Q Y, Zhao H C et al. Hyperspectral image reconstruction based on improved residual dense network[J]. Acta Optica Sinica, 41, 0730001(2021).
[5] Yu X J, Yan Q, Liu Z J. Atmospheric correction of HJ-1A multi-spectral and hyper-spectral images[C], 2125-2129(2010).
[6] Liang S L, Fang H L. An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery[J]. IEEE Geoscience and Remote Sensing Letters, 1, 112-117(2004).
[7] Matthew M W, Adler-Golden S M, Berk A et al. Status of atmospheric correction using a MODTRAN4-based algorithm[J]. Proceedings of SPIE, 4049, 199-207(2000).
[9] Lyapustin A I, Wang Y J, Laszlo I et al. Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction[J]. Remote Sensing of Environment, 127, 385-393(2012).
[10] Friedl M A, Sulla-Menashe D, Tan B et al. MODIS Collection 5 global land cover: algorithm refinements and characterization of new datasets[J]. Remote Sensing of Environment, 114, 168-182(2010).
[11] Ben-Dor E, Kruse F A. The relationship between the size of spatial subsets of GER 63 channel scanner data and the quality of the internal average relative reflectance (IARR) atmospheric correction technique[J]. International Journal of Remote Sensing, 15, 683-690(1994).
[12] Zhang X, Zhang B, Geng X R et al. Automatic flat field algorithm for hyperspectral image calibration[J]. Proceedings of SPIE, 5286, 636-639(2003).
[14] Ghulam A, Qin Q M, Zhu L J. 6S model based atmospheric correction of visible and near-infrared data and sensitivity analysis[J]. Acta Scicentiarum Naturalum Universitis Pekinesis, 40, 611-618(2004).
[15] Song X Y, Wang J H, Liu L Y et al. Atmospheric correction of hyper-spectral imagery: evaluation of the FLAASH algorithm with AVRIS data[J]. Remote Sensing Technology and Application, 20, 393-398(2005).
[16] Proud S R, Rasmussen M O, Fensholt R et al. Improving the SMAC atmospheric correction code by analysis of Meteosat Second Generation NDVI and surface reflectance data[J]. Remote Sensing of Environment, 114, 1687-1698(2010).
[17] Bassani C, Manzo C, Braga F et al. The impact of the microphysical properties of aerosol on the atmospheric correction of hyperspectral data in coastal waters[J]. Atmospheric Measurement Techniques, 8, 1593-1604(2015).
[18] Jha S S, Manohar Kumar C V S S, Nidamanuri R R. Flexible atmospheric compensation technique (FACT): a 6S based atmospheric correction scheme for remote sensing data[J]. Geocarto International, 36, 28-46(2021).
[19] Zhou X C, Liu X P, Wang X Q et al. Evaluation of surface reflectance products based on optimized 6S model using synchronous in situ measurements[J]. Remote Sensing, 14, 83(2021).
[20] Zhang H W, Ma Y, Zhang J Y et al. Atmospheric correction model for water-land boundary adjacency effects in landsat-8 multispectral images and its impact on bathymetric remote sensing[J]. Remote Sensing, 14, 4769(2022).
[21] Zhou Q, Wang S, Liu N F et al. Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: algorithm evaluation, key parameter analysis, and machine learning emulators[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 386-401(2023).
[22] Farid Q, Gregory D. Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing[J]. Plant Methods, 19, 74(2023).
[23] Xia Y M, Zhao K Q. Error estimation of optimal value of norm scalarization model for multi-objective optimization problems[J]. Journal of Systems Science and Mathematical Sciences, 43, 2319-2327(2023).
Get Citation
Copy Citation Text
Xuedan Wang, Yufeng Wang, Kai Liu, Zhiqing Peng, Jingjing Liu, Huige Di, Yuehui Song, Dengxin Hua. Optimized 6S Model Atmospheric Correction Method Combined with NCEP Reanalysis Data[J]. Acta Optica Sinica, 2024, 44(6): 0601006
Category: Atmospheric Optics and Oceanic Optics
Received: Sep. 4, 2023
Accepted: Nov. 6, 2023
Published Online: Mar. 19, 2024
The Author Email: Yufeng Wang (wangyufeng@xaut.edu.cn)
CSTR:32393.14.AOS231514