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Xu, J.[Jian],
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Fan, W.Z.[Wen-Zhi],
Haze Optical Properties from Long-Term Ground-Based Remote Sensing
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Zhao, X.T.[Xin-Tao],
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MultMed(21), No. 9, September 2019, pp. 2319-2333.
IEEE DOI
1909
Atmospheric modeling, Image color analysis,
Atmospheric measurements, Databases, Scattering,
regular/aerial image
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Shen, H.,
Zhang, C.,
Li, H.,
Yuan, Q.,
Zhang, L.,
A Spatial-Spectral Adaptive Haze Removal Method for Visible Remote
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GeoRS(58), No. 9, September 2020, pp. 6168-6180.
IEEE DOI
2008
Atmospheric modeling, Remote sensing, Scattering, Distortion,
Indexes, Image color analysis, Bright pixel index (BPI),
spatial-spectral adaptive
BibRef
Peng, Y.,
Lu, Z.,
Cheng, F.,
Zheng, Y.,
Huang, S.,
Image Haze Removal Using Airlight White Correction, Local Light
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IEEE DOI
2005
Image color analysis, Optical filters, Optical distortion,
Optical imaging, Atmospheric modeling, Estimation, Adaptive optics,
aerial perspective prior
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Gautam, S.[Sidharth],
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JVCIR(74), 2021, pp. 102993.
Elsevier DOI
2101
Remote sensing, Satellite imaging,
Unmanned aerial vehicle imaging, Image restoration, Image dehazing
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Guo, J.,
Yang, J.,
Yue, H.,
Tan, H.,
Hou, C.,
Li, K.,
RSDehazeNet: Dehazing Network With Channel Refinement for
Multispectral Remote Sensing Images,
GeoRS(59), No. 3, March 2021, pp. 2535-2549.
IEEE DOI
2103
Feature extraction, Remote sensing, Correlation,
Image color analysis, Cloud computing, Training, Earth, wavelength dependence
BibRef
Zhu, Z.Q.[Zhi-Qin],
Luo, Y.Q.[Ya-Qin],
Wei, H.Y.[Hong-Yan],
Li, Y.[Yong],
Qi, G.Q.[Guan-Qiu],
Mazur, N.[Neal],
Li, Y.Y.[Yuan-Yuan],
Li, P.L.[Peng-Long],
Atmospheric Light Estimation Based Remote Sensing Image Dehazing,
RS(13), No. 13, 2021, pp. xx-yy.
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Guo, J.H.[Jian-Hua],
Yang, J.Y.[Jing-Yu],
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Hou, C.P.[Chun-Ping],
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Landsat-8 OLI Multispectral Image Dehazing Based on Optimized
Atmospheric Scattering Model,
GeoRS(59), No. 12, December 2021, pp. 10255-10265.
IEEE DOI
2112
Atmospheric modeling, Remote sensing, Scattering, Earth,
Artificial satellites, Computational modeling, Atmospheric waves,
wavelength and haze conditions dependence
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Jiang, B.[Bo],
Chen, G.[Guanting],
Wang, J.[Jinshuai],
Ma, H.[Hang],
Wang, L.[Lin],
Wang, Y.X.[Yu-Xuan],
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Deep Dehazing Network for Remote Sensing Image with Non-Uniform Haze,
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Sanwlani, N.[Nivedita],
Das, R.[Reshmi],
Understanding Haze: Modeling Size-Resolved Mineral Aerosol from
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Shi, Z.H.[Zheng-Hao],
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A saliency guided remote sensing image dehazing network model,
IET-IPR(16), No. 9, 2022, pp. 2483-2494.
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2206
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Wei, J.C.[Jian-Chong],
Wu, Y.[Yi],
Chen, L.[Liang],
Yang, K.[Kunping],
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Zero-Shot Remote Sensing Image Dehazing Based on a Re-Degradation
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RS(14), No. 22, 2022, pp. xx-yy.
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Yu, J.[Jing],
Liang, D.Y.[De-Ying],
Hang, B.[Bo],
Gao, H.T.[Hong-Tao],
Aerial Image Dehazing Using Reinforcement Learning,
RS(14), No. 23, 2022, pp. xx-yy.
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2212
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Si, Y.[Yidan],
Chen, L.[Lin],
Zheng, Z.J.[Zhao-Jun],
Yang, L.[Leiku],
Wang, F.[Fu],
Xu, N.[Na],
Zhang, X.Y.[Xing-Ying],
A Novel Algorithm of Haze Identification Based on FY3D/MERSI-II
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BibRef
Wei, J.C.[Jian-Chong],
Cao, Y.[Yan],
Yang, K.[Kunping],
Chen, L.[Liang],
Wu, Y.[Yi],
Self-Supervised Remote Sensing Image Dehazing Network Based on
Zero-Shot Learning,
RS(15), No. 11, 2023, pp. 2732.
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2306
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Dong, W.[Weida],
Wang, C.Y.[Chun-Yan],
Sun, H.[Hao],
Teng, Y.J.[Yun-Jie],
Liu, H.[Huan],
Zhang, Y.[Yue],
Zhang, K.L.[Kai-Lin],
Li, X.Y.[Xiao-Yan],
Xu, X.P.[Xi-Ping],
End-to-End Detail-Enhanced Dehazing Network for Remote Sensing Images,
RS(16), No. 2, 2024, pp. 225.
DOI Link
2402
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Fang, J.H.[Jia-Hao],
Wang, X.[Xing],
Li, Y.J.[Yu-Jie],
Zhang, X.F.[Xue-Feng],
Zhang, B.X.[Bing-Xian],
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GLUENet: An Efficient Network for Remote Sensing Image Dehazing with
Gated Linear Units and Efficient Channel Attention,
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2405
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Nie, J.[Jing],
Xie, J.[Jin],
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Remote Sensing Image Dehazing via a Local Context-Enriched
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RS(16), No. 8, 2024, pp. 1422.
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Yang, L.[Lei],
Cao, J.Z.[Jian-Zhong],
Wang, H.[Hua],
Dong, S.[Sen],
Ning, H.L.[Hai-Long],
Hierarchical Semantic-Guided Contextual Structure-Aware Network for
Spectral Satellite Image Dehazing,
RS(16), No. 9, 2024, pp. 1525.
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2405
BibRef
Wang, Y.[Yihu],
Zhao, J.L.[Ji-Lin],
Yao, L.L.[Liang-Liang],
Fu, C.H.[Chang-Hong],
Depth-Guided Dehazing Network for Long-Range Aerial Scenes,
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Yu, M.[Mei],
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Hierarchical slice interaction and multi-layer cooperative decoding
networks for remote sensing image dehazing,
IVC(148), 2024, pp. 105129.
Elsevier DOI Code:
WWW Link.
2407
Remote sensing image dehazing, Hierarchical slice interaction,
Multi-layer cooperative decoding, U-shaped neural network
BibRef
Zheng, Y.T.[Yi-Tong],
Su, J.[Jia],
Zhang, S.[Shun],
Tao, M.L.[Ming-Liang],
Wang, L.[Ling],
Unpaired Remote Sensing Image Dehazing Using Enhanced Skip
Attention-Based Generative Adversarial Networks with Rotation
Invariance,
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He, Y.F.[Yu-Feng],
Li, C.[Cuili],
Li, X.[Xu],
Bai, T.C.[Tie-Cheng],
A Lightweight CNN Based on Axial Depthwise Convolution and Hybrid
Attention for Remote Sensing Image Dehazing,
RS(16), No. 15, 2024, pp. 2822.
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Su, H.[Hang],
Liu, L.[Lina],
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Gao, M.L.[Ming-Liang],
Multi-Scale Large Kernel Convolution and Hybrid Attention Network for
Remote Sensing Image Dehazing,
IVC(150), 2024, pp. 105212.
Elsevier DOI Code:
WWW Link.
2409
Image dehazing, Remote sensing, Large kernel convolution,
Multi-scale feature, Attention mechanism
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Liu, Q.[Qi],
Wang, B.[Bo],
Tan, S.H.[Shi-Han],
Zou, S.R.[Shu-Rong],
Ge, W.Y.[Wen-Yi],
Remote Sensing Image Dehazing Using Multi-Scale Gated Attention for
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IEICE(E108-D), No. 9, September 2024, pp. 1206-1218.
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2410
BibRef
Kulkarni, A.[Ashutosh],
Murala, S.[Subrahmanyam],
Aerial Image Dehazing with Attentive Deformable Transformers,
WACV23(6294-6303)
IEEE DOI
2302
Training, Visualization, Convolution, Image edge detection,
Surveillance, Feature extraction, Transformers,
Low-level and physics-based vision
BibRef
Chen, Z.J.[Zhao-Jie],
Li, Q.[Qi],
Feng, H.J.[Hua-Jun],
Xu, Z.H.[Zhi-Hai],
Chen, Y.T.[Yue-Ting],
Nonuniformly Dehaze Network for Visible Remote Sensing Images,
NTIRE22(446-455)
IEEE DOI
2210
Image quality, Fuses, Convolution, Feature extraction, Pattern recognition
BibRef
Zhang, K.[Kemeng],
Zheng, R.[Ruohui],
Ma, S.[Sijia],
Zhang, L.[Libao],
UAV Remote Sensing Image Dehazing Based on Saliency Guided
Two-Scaletransmission Correction,
ICIP21(2848-2852)
IEEE DOI
2201
Image color analysis, Frequency-domain analysis, Estimation,
Distortion, Visual effects, Propagation losses,
transmission correction
BibRef
Wang, S.[Shan],
Zhang, L.[Libao],
Dynamic Mutual Enhancement Network for Single Remote Sensing Image
Dehazing,
ICIP22(3336-3340)
IEEE DOI
2211
Training, Heuristic algorithms, Semantics, Feature extraction,
Robustness, Decoding, Image restoration, Image enhancement, CNN
BibRef
Wang, S.[Shan],
Wu, H.L.[Han-Lin],
Zhang, L.[Libao],
Afdn: Attention-Based Feedback Dehazing Network for UAV Remote
Sensing Image Haze Removal,
ICIP21(3822-3826)
IEEE DOI
2201
Energy loss, Statistical analysis, Fitting, Feature extraction,
Unmanned aerial vehicles, Surface fitting, Surface texture, CNN
BibRef
Zhou, Y.[Yang],
Xu, Q.[Qing],
Xu, J.W.[Ji-Wei],
Jin, G.W.[Guo-Wang],
Optical Remote Sensing Image Optimized Dehazing Algorithm Based on Hot,
ISPRS16(B3: 797-803).
DOI Link
1610
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Single Image Dehazing .