{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:05:20Z","timestamp":1784203520591,"version":"3.55.0"},"reference-count":52,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003819","name":"Hubei Province Natural Science Foundation","doi-asserted-by":"publisher","award":["2026AFB642"],"award-info":[{"award-number":["2026AFB642"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62576192"],"award-info":[{"award-number":["62576192"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U25A20403"],"award-info":[{"award-number":["U25A20403"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neunet.2026.109046","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T00:56:29Z","timestamp":1777942589000},"page":"109046","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Global-local uncertainty-contrastive physics-guided inversion network for unsupervised cloud removal"],"prefix":"10.1016","volume":"202","author":[{"given":"Shiwen","family":"Gong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanbo","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runzhou","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neunet.2026.109046_bib0001","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"8142","article-title":"Uncertainty-aware source-free adaptive image super-resolution with wavelet augmentation transformer","author":"Ai","year":"2024"},{"key":"10.1016\/j.neunet.2026.109046_bib0002","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2024.3368430","article-title":"Additional self-attention transformer with adapter for thick haze removal","volume":"21","author":"Cai","year":"2024","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"10.1016\/j.neunet.2026.109046_bib0003","doi-asserted-by":"crossref","first-page":"2357","DOI":"10.1109\/JSTARS.2022.3157648","article-title":"A siamese network based u-net for change detection in high resolution remote sensing images","volume":"15","author":"Chen","year":"2022","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0004","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1109\/TIP.2024.3354108","article-title":"Dea-net: Single image dehazing based on detail-enhanced convolution and content-guided attention","volume":"33","author":"Chen","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109046_bib0005","first-page":"1","article-title":"Robust haze and thin cloud removal via conditional variational autoencoders","volume":"62","author":"Ding","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0006","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition workshops","first-page":"825","article-title":"Cycle-dehaze: Enhanced cycleGAN for single image dehazing","author":"Engin","year":"2018"},{"key":"10.1016\/j.neunet.2026.109046_bib0007","doi-asserted-by":"crossref","DOI":"10.1109\/TCSVT.2025.3570466","article-title":"Cross-domain few-shot learning method based on fractional domain information for hyperspectral image multi-class change detection","author":"Feng","year":"2025","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"issue":"4","key":"10.1016\/j.neunet.2026.109046_bib0008","doi-asserted-by":"crossref","first-page":"2027","DOI":"10.1109\/TPAMI.2023.3328829","article-title":"Encoding the latent posterior of bayesian neural networks for uncertainty quantification","volume":"46","author":"Franchi","year":"2023","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.neunet.2026.109046_bib0009","doi-asserted-by":"crossref","first-page":"4819","DOI":"10.1109\/TMM.2023.3326881","article-title":"Illumination controllable dehazing network based on unsupervised retinex embedding","volume":"26","author":"Gui","year":"2023","journal-title":"IEEE Transactions on Multimedia"},{"issue":"12","key":"10.1016\/j.neunet.2026.109046_bib0010","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"He","year":"2011","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.neunet.2026.109046_bib0011","unstructured":"He, W., Jiang, Z., (2023). Uncertainty quantification of deep learning for spatiotemporal data: Challenges and opportunities. arXiv preprint arXiv: 2311.02485."},{"key":"10.1016\/j.neunet.2026.109046_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.109214","article-title":"Coherence-aware context aggregator for fast video object segmentation","volume":"136","author":"Lan","year":"2023","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.neunet.2026.109046_bib0013","article-title":"When schr\u00f6dinger bridge meets real-world image dehazing with unpaired training","volume":"abs\/2507.09524","author":"Lan","year":"2025","journal-title":"ArXiv"},{"key":"10.1016\/j.neunet.2026.109046_bib0014","series-title":"2019 18th IEEE international conference on machine learning and applications (ICMLA)","first-page":"8","article-title":"Gram: Gradient rescaling attention model for data uncertainty estimation in single image super resolution","author":"Lee","year":"2019"},{"issue":"3","key":"10.1016\/j.neunet.2026.109046_bib0015","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1109\/LGRS.2018.2874084","article-title":"Haze and thin cloud removal via sphere model improved dark channel prior","volume":"16","author":"Li","year":"2019","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"10.1016\/j.neunet.2026.109046_bib0016","doi-asserted-by":"crossref","first-page":"3587","DOI":"10.1109\/TMM.2022.3163554","article-title":"Usid-net: Unsupervised single image dehazing network via disentangled representations","volume":"25","author":"Li","year":"2023","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.neunet.2026.109046_bib0017","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.isprsjprs.2020.06.021","article-title":"Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion","volume":"166","author":"Li","year":"2020","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0018","first-page":"1","article-title":"Decloudnet: Cross-patch consistency is a nontrivial problem for thin cloud removal from wide-swath multispectral images","volume":"62","author":"Li","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0019","unstructured":"Lin, D., Xu, G., Wang, X., Wang, Y., Sun, X., & Fu, K. (2019). A remote sensing image dataset for cloud removal. arXiv preprint arXiv: 1901.00600."},{"key":"10.1016\/j.neunet.2026.109046_bib0020","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","article-title":"Frequency domain-based diffusion model for unpaired image dehazing","author":"Liu","year":"2025"},{"key":"10.1016\/j.neunet.2026.109046_bib0021","first-page":"1","article-title":"Thick cloud removal under land cover changes using multisource satellite imagery and a spatiotemporal attention network","volume":"61","author":"Liu","year":"2023","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0022","first-page":"1","article-title":"Cascaded memory network for optical remote sensing imagery cloud removal","volume":"62","author":"Liu","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0023","first-page":"1","article-title":"Cr-famba: A frequency-domain assisted mamba for thin cloud removal in optical remote sensing imagery","author":"Liu","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"issue":"1","key":"10.1016\/j.neunet.2026.109046_bib0024","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1364\/OE.22.000618","article-title":"Thin cloud removal from single satellite images","volume":"22","author":"Liu","year":"2014","journal-title":"Optics Express"},{"key":"10.1016\/j.neunet.2026.109046_bib0025","doi-asserted-by":"crossref","first-page":"4999","DOI":"10.1109\/JSTARS.2023.3280947","article-title":"Cloud-EGAN: Rethinking cycleGAN from a feature enhancement perspective for cloud removal by combining CNN and transformer","volume":"16","author":"Ma","year":"2023","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0026","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.isprsjprs.2020.05.013","article-title":"Cloud removal in sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion","volume":"166","author":"Meraner","year":"2020","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0027","first-page":"1","article-title":"M3-CR: Multiscale multibranch mamba for SAR-assisted optical image thick cloud removal","volume":"63","author":"Pan","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0028","unstructured":"Seitzer, M., Tavakoli, A., Antic, D., Martius, G., (2022). On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks. arXiv preprint arXiv: 2203.09168."},{"key":"10.1016\/j.neunet.2026.109046_bib0029","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.isprsjprs.2014.06.011","article-title":"An effective thin cloud removal procedure for visible remote sensing images","volume":"96","author":"Shen","year":"2014","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0030","series-title":"Igarss 2018-2018 ieee international geoscience and remote sensing symposium","first-page":"1772","article-title":"Cloud-GAN: Cloud removal for sentinel-2 imagery using a cyclic consistent generative adversarial networks","author":"Singh","year":"2018"},{"key":"10.1016\/j.neunet.2026.109046_bib0031","first-page":"1","article-title":"Latent feature disentanglement bidirectional prompting network for unsupervised cloud removal","volume":"63","author":"Sun","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.106314","article-title":"Unsupervised bidirectional contrastive reconstruction and adaptive fine-grained channel attention networks for image dehazing","volume":"176","author":"Sun","year":"2024","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109046_bib0033","first-page":"1","article-title":"A semantic change detection network based on boundary detection and task interaction for high-resolution remote sensing images","author":"Tang","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2026.109046_bib0034","series-title":"2024\u202fIEEE 7Th international conference on multimedia information processing and retrieval (MIPR)","first-page":"267","article-title":"Uu-mamba: Uncertainty-aware u-mamba for cardiac image segmentation","author":"Tsai","year":"2024"},{"issue":"4","key":"10.1016\/j.neunet.2026.109046_bib0035","doi-asserted-by":"crossref","first-page":"1964","DOI":"10.1109\/TPAMI.2023.3312311","article-title":"Introspective deep metric learning","volume":"46","author":"Wang","year":"2023","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.neunet.2026.109046_bib0036","article-title":"Position guided dynamic receptive field network: A small object detection friendly to optical and SAR images","author":"Wang","year":"2025","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109046_bib0037","first-page":"1","article-title":"Mst-net: A general deep learning model for thick cloud removal from optical images","volume":"63","author":"Wang","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0038","first-page":"1","article-title":"Real-scene image dehazing via laplacian pyramid-based conditional diffusion model","author":"Wang","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"issue":"11","key":"10.1016\/j.neunet.2026.109046_bib0039","doi-asserted-by":"crossref","first-page":"20368","DOI":"10.1109\/TITS.2022.3170328","article-title":"Cycle-SNSPGAN: Towards real-world image dehazing via cycle spectral normalized soft likelihood estimation patch GAN","volume":"23","author":"Wang","year":"2022","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10.1016\/j.neunet.2026.109046_bib0040","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1109\/TIP.2024.3362153","article-title":"Ucl-dehaze: Toward real-world image dehazing via unsupervised contrastive learning","volume":"33","author":"Wang","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"issue":"4","key":"10.1016\/j.neunet.2026.109046_bib0041","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109046_bib0042","series-title":"European conference on computer vision","first-page":"107","article-title":"Towards real-time multi-object tracking","author":"Wang","year":"2020"},{"key":"10.1016\/j.neunet.2026.109046_bib0043","series-title":"Proceedings of the AAAI conference on artificial intelligence","article-title":"Towards perceptual image dehazing by physics-based disentanglement and adversarial training","volume":"vol. 32","author":"Yang","year":"2018"},{"key":"10.1016\/j.neunet.2026.109046_bib0044","series-title":"Proceedings of the AAAI conference on artificial intelligence","article-title":"Towards perceptual image dehazing by physics-based disentanglement and adversarial training","author":"Yang","year":"2022"},{"issue":"5","key":"10.1016\/j.neunet.2026.109046_bib0045","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.1007\/s11263-023-01940-5","article-title":"Robust unpaired image dehazing via density and depth decomposition","volume":"132","author":"Yang","year":"2024","journal-title":"International Journal of Computer Vision"},{"key":"10.1016\/j.neunet.2026.109046_bib0046","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR)","first-page":"2037","article-title":"Self-augmented unpaired image dehazing via density and depth decomposition","author":"Yang","year":"2022"},{"key":"10.1016\/j.neunet.2026.109046_bib0047","first-page":"1","article-title":"Mamba-CR: A state-space model for remote sensing image cloud removal","volume":"63","author":"Zhang","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0048","first-page":"1","article-title":"Dense haze removal based on dynamic collaborative inference learning for remote sensing images","volume":"60","author":"Zhang","year":"2022","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"issue":"2\u20133","key":"10.1016\/j.neunet.2026.109046_bib0049","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/S0034-4257(02)00034-2","article-title":"An image transform to characterize and compensate for spatial variations in thin cloud contamination of landsat images","volume":"82","author":"Zhang","year":"2002","journal-title":"Remote Sensing of Environment"},{"key":"10.1016\/j.neunet.2026.109046_bib0050","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2024.3505979","article-title":"Dehaze-TGGAN: Transformer-guide generative adversarial networks with spatial-spectrum attention for unpaired remote sensing dehazing","volume":"62","author":"Zheng","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0051","first-page":"1","article-title":"A dual-stage residual diffusion model with perceptual decoding for remote sensing image dehazing","volume":"63","author":"Zhou","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.neunet.2026.109046_bib0052","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2021.3140033","article-title":"Thin cloud removal for remote sensing images using a physical-model-based cycleGAN with unpaired data","volume":"19","author":"Zi","year":"2022","journal-title":"IEEE Geoscience and Remote Sensing Letters"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S089360802600506X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S089360802600506X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:23:26Z","timestamp":1784201006000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S089360802600506X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":52,"alternative-id":["S089360802600506X"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109046","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Global-local uncertainty-contrastive physics-guided inversion network for unsupervised cloud removal","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109046","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109046"}}