{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T10:06:13Z","timestamp":1773655573842,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T00:00:00Z","timestamp":1686700800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T00:00:00Z","timestamp":1686700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11063-023-11301-5","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T17:01:42Z","timestamp":1686762102000},"page":"8081-8094","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Dynamic Feature Attention Network for Remote Sensing Image Dehazing"],"prefix":"10.1007","volume":"55","author":[{"given":"Yang","family":"Hao","sequence":"first","affiliation":[]},{"given":"Wenzong","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Weifeng","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Weijia","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Baodi","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,14]]},"reference":[{"key":"11301_CR1","doi-asserted-by":"crossref","unstructured":"Berman D, Treibitz T, Avidan S (2016) Non-local image dehazing. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2016.185"},{"issue":"4","key":"11301_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JPHOT.2017.2726107","volume":"9","author":"G Bi","year":"2017","unstructured":"Bi G, Ren J, Tianjiao F, Nie T, Chen C, Zhang N (2017) Image dehazing based on accurate estimation of transmission in the atmospheric scattering model. IEEE Photonics J 9(4):1\u201318","journal-title":"IEEE Photonics J"},{"key":"11301_CR3","doi-asserted-by":"crossref","unstructured":"Chen D, He M, Fan Q, Liao J, Zhang L, Hou D, Yuan L, Hua G (2019) Gated context aggregation network for image dehazing and deraining. In: 2019 IEEE winter conference on applications of computer vision (WACV), pp 1375\u20131383","DOI":"10.1109\/WACV.2019.00151"},{"key":"11301_CR4","first-page":"1","volume":"19","author":"X Chen","year":"2021","unstructured":"Chen X, Li Y, Dai L, Kong C (2021) Hybrid high-resolution learning for single remote sensing satellite image dehazing. IEEE Geosci Remote Sens Lett 19:1\u20135","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"11301_CR5","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1080\/713819629","volume":"24","author":"LJ Cox","year":"1977","unstructured":"Cox LJ (1977) Optics of the atmosphere-scattering by molecules and particles. Optica Acta Int J Optics 24:779\u2013779","journal-title":"Optica Acta Int J Optics"},{"key":"11301_CR6","doi-asserted-by":"publisher","first-page":"166462","DOI":"10.1016\/j.ijleo.2021.166462","volume":"231","author":"FA Dharejo","year":"2021","unstructured":"Dharejo FA, Zhou Y, Deeba F, Jatoi MA, Khan MA, Mallah GA, Ghaffar A, Chhattal M, Du Y, Wang X (2021) A deep hybrid neural network for single image dehazing via wavelet transform. Optik 231:166462","journal-title":"Optik"},{"key":"11301_CR7","doi-asserted-by":"crossref","unstructured":"Dong H, Pan J, Xiang L, Hu Z, Yang MH (2020) Multi-scale boosted dehazing network with dense feature fusion. In: 2020 IEEE\/CVF conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR42600.2020.00223"},{"issue":"4","key":"11301_CR8","doi-asserted-by":"publisher","first-page":"1119","DOI":"10.1007\/s11045-022-00835-x","volume":"33","author":"P Dong","year":"2022","unstructured":"Dong P, Wang B (2022) Transra: transformer and residual attention fusion for single remote sensing image dehazing. Multidimens Syst Signal Process 33(4):1119\u20131138","journal-title":"Multidimens Syst Signal Process"},{"key":"11301_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2023.3323530","volume":"61","author":"Y Duan","year":"2023","unstructured":"Duan Y, Luo F, Fu M, Niu Y, Gong X (2023) Classification via structure preserved hypergraph convolution network for hyperspectral image. IEEE Trans Geosci Remote Sens 61:1\u20133","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"11301_CR10","doi-asserted-by":"crossref","unstructured":"Grohnfeldt C, Schmitt M, Zhu X (2018) A conditional generative adversarial network to fuse SAR and multispectral optical data for cloud removal from sentinel-2 images. In: IGARSS 2018-2018 ieee international geoscience and remote sensing symposium, pp 1726\u20131729","DOI":"10.1109\/IGARSS.2018.8519215"},{"issue":"24","key":"11301_CR11","doi-asserted-by":"publisher","first-page":"3008","DOI":"10.3390\/rs11243008","volume":"11","author":"Z Gu","year":"2019","unstructured":"Gu Z, Zhan Z, Yuan Q, Yan L (2019) Single remote sensing image dehazing using a prior-based dense attentive network. Remote Sens 11(24):3008","journal-title":"Remote Sens"},{"issue":"3","key":"11301_CR12","doi-asserted-by":"publisher","first-page":"2535","DOI":"10.1109\/TGRS.2020.3004556","volume":"59","author":"J Guo","year":"2020","unstructured":"Guo J, Yang J, Yue H, Tan H, Hou C, Li K (2020) Rsdehazenet: Dehazing network with channel refinement for multispectral remote sensing images. IEEE Trans Geosci Remote Sens 59(3):2535\u20132549","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"11301_CR13","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","volume":"33","author":"K He","year":"2011","unstructured":"He K, Sun J, Tang X (2011) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33:2341\u20132353","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"24","key":"11301_CR14","doi-asserted-by":"publisher","first-page":"4162","DOI":"10.3390\/rs12244162","volume":"12","author":"A Hu","year":"2020","unstructured":"Hu A, Xie Z, Xu Y, Xie M, Qiu Q (2020) Unsupervised haze removal for high-resolution optical remote-sensing images based on improved generative adversarial networks. Remote Sens 12(24):4162","journal-title":"Remote Sens"},{"issue":"21","key":"11301_CR15","doi-asserted-by":"publisher","first-page":"4443","DOI":"10.3390\/rs13214443","volume":"3","author":"B Jiang","year":"2021","unstructured":"Jiang B, Chen G, Wang J, Ma H, Wang L, Wang Y, Chen X (2021) Deep dehazing network for remote sensing image with non-uniform haze. Remote Sens 3(21):4443","journal-title":"Remote Sens"},{"issue":"6","key":"11301_CR16","doi-asserted-by":"publisher","first-page":"945","DOI":"10.3390\/rs10060945","volume":"10","author":"H Jiang","year":"2018","unstructured":"Jiang H, Ning L (2018) Multi-scale residual convolutional neural network for haze removal of remote sensing images. Remote Sens 10(6):945","journal-title":"Remote Sens"},{"issue":"8","key":"11301_CR17","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1109\/TPAMI.2019.2913372","volume":"42","author":"J Hu","year":"2019","unstructured":"Hu J, Shen L, Sun G (2019) Squeeze-and-excitation networks. IEEE Trans Pattern Anal Mach Intell 42(8):2011\u20132023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"11301_CR18","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1109\/LGRS.2017.2681128","volume":"14","author":"N Kussul","year":"2017","unstructured":"Kussul N, Lavreniuk M, Skakun S, Shelestov A (2017) Deep learning classification of land cover and crop types using remote sensing data. IEEE Geosci Remote Sens Lett 14(5):778\u2013782","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"11301_CR19","doi-asserted-by":"crossref","unstructured":"Li B, Peng X, Wang Z, Xu J, Dan F (2017) Aod-net: All-in-one dehazing network. In: 2017 IEEE international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2017.511"},{"key":"11301_CR20","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.sigpro.2017.01.036","volume":"137","author":"Q Liu","year":"2017","unstructured":"Liu Q, Gao X, He L, Wen L (2017) Haze removal for a single visible remote sensing image. Signal Process 137:33\u201343","journal-title":"Signal Process"},{"key":"11301_CR21","doi-asserted-by":"crossref","unstructured":"Liu X, Ma Y, Shi Z, Chen J (2020) Griddehazenet: Attention-based multi-scale network for image dehazing. In: 2019 IEEE\/CVF international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2019.00741"},{"key":"11301_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2023.3325253","volume":"61","author":"F Luo","year":"2023","unstructured":"Luo F, Zhou T, Liu J, Guo T, Gong X, Ren J (2023) Multiscale diff-changed feature fusion network for hyperspectral image change detection. IEEE Trans Geosci Remote Sens 61:1\u201313","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"11301_CR23","doi-asserted-by":"crossref","unstructured":"Mehta A, Sinha H, Mandal M, Narang P (2021) Domain-aware unsupervised hyperspectral reconstruction for aerial image dehazing. In: Proceedings of the IEEE\/CVF winter conference on applications of computer vision, pp 413\u2013422","DOI":"10.1109\/WACV48630.2021.00046"},{"key":"11301_CR24","doi-asserted-by":"crossref","unstructured":"Qin X, Wang Z, Bai Y, Xie X, Jia H (2020) FFA-Net: Feature fusion attention network for single image dehazing. In: Proceedings of the AAAI conference on artificial intelligence 34:11908\u201311915","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"11301_CR25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2014.2332311","volume":"12","author":"Z Qin","year":"2015","unstructured":"Qin Z, Ni L, Tong Z, Qian W (2015) Deep learning based feature selection for remote sensing scene classification. IEEE Geosci Remote Sens Lett 12:1\u20135","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"13","key":"11301_CR26","doi-asserted-by":"publisher","first-page":"3064","DOI":"10.1016\/j.ijleo.2013.12.077","volume":"125","author":"Z Rong","year":"2014","unstructured":"Rong Z, Jun WL (2014) Improved wavelet transform algorithm for single image dehazing. Optik 125(13):3064\u20133066","journal-title":"Optik"},{"key":"11301_CR27","doi-asserted-by":"crossref","unstructured":"Shrivastava A, Jain S (2016) Single image dehazing based on one dimensional linear filtering and adoptive histogram equalization method. In: 2016 international conference on electrical, electronics, and optimization techniques (ICEEOT), IEEE, pp 4074\u20134078","DOI":"10.1109\/ICEEOT.2016.7755480"},{"key":"11301_CR28","doi-asserted-by":"crossref","unstructured":"Song Y, He Z, Qian H, Du X (2022) Vision transformers for single image dehazing. In arXiv preprint arXiv:2204.03883,","DOI":"10.1109\/TIP.2023.3256763"},{"key":"11301_CR29","doi-asserted-by":"crossref","unstructured":"Thanh DN, Hue NM, Prasath VS (2019) Single image dehazing based on adaptive histogram equalization and linearization of gamma correction. In: 2019 25th Asia-Pacific conference on communications (APCC), pp 36\u201340","DOI":"10.1109\/APCC47188.2019.9026457"},{"issue":"10","key":"11301_CR30","doi-asserted-by":"publisher","first-page":"1672","DOI":"10.1109\/LGRS.2019.2954291","volume":"17","author":"T Yixuan","year":"2020","unstructured":"Yixuan T, Jia K, Wei X, Yunjun Yao M, Xia XZ, Jiang B (2020) A time-efficient fractional vegetation cover estimation method using the dynamic vegetation growth information from time series glass fvc product. IEEE Geosci Remote Sens Lett 17(10):1672\u20131676","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"11301_CR31","doi-asserted-by":"crossref","unstructured":"Tu Z, Talebi H, Zhang H, Yang F, Milanfar P, Bovik A, Li Y (2022) Maxim: Multi-axis mlp for image processing. In: CVPR conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR52688.2022.00568"},{"key":"11301_CR32","doi-asserted-by":"publisher","first-page":"32576","DOI":"10.1109\/ACCESS.2018.2843261","volume":"6","author":"Z Tufail","year":"2018","unstructured":"Tufail Z, Khurshid K, Salman A, Nizami IF, Khurshid K, Jeon B (2018) Improved dark channel prior for image defogging using RGB and YcbCr color space. IEEE Access 6:32576\u201332587","journal-title":"IEEE Access"},{"key":"11301_CR33","first-page":"1","volume":"19","author":"H Wang","year":"2022","unstructured":"Wang H, Cao H, Kai Y, Bai H, Chen X, Yang Y, Xing L, Zhou C (2022) Multi-source remote sensing intelligent characterization technique-based disaster regions detection in high-altitude mountain forest areas. IEEE Geosci Remote Sens Lett 19:1\u20135","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"11301_CR34","doi-asserted-by":"crossref","unstructured":"Woo S, Park J, Lee JY, Kweon IS (2018) Cbam: Convolutional block attention module. In: European conference on computer vision","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"11301_CR35","unstructured":"Xu X, Ma Y, Sun W (2020) Learning factorized weight matrix for joint filtering. In: International conference on machine learning, PMLR, pp 10587\u201310596"},{"issue":"4","key":"11301_CR36","first-page":"1905","volume":"44","author":"X Xiangyu","year":"2020","unstructured":"Xiangyu X, Ma Y, Sun W, Yang M-H (2020) Exploiting raw images for real-scene super-resolution. IEEE Trans Pattern Anal Mach Intell 44(4):1905\u20131921","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"11301_CR37","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1109\/TCYB.2019.2910151","volume":"51","author":"L Zhang","year":"2019","unstructured":"Zhang L, Song L, Bo D, Zhang Y (2019) Nonlocal low-rank tensor completion for visual data. IEEE Trans Cybern 51(2):673\u2013685","journal-title":"IEEE Trans Cybern"},{"key":"11301_CR38","doi-asserted-by":"crossref","unstructured":"Zhang QL, Yang YB (2021) Sa-net: Shuffle attention for deep convolutional neural networks. In: ICASSP 2021-2021 IEEE international conference on acoustics, speech and signal processing (ICASSP), IEEE, pp 2235\u20132239","DOI":"10.1109\/ICASSP39728.2021.9414568"},{"key":"11301_CR39","doi-asserted-by":"publisher","first-page":"103003","DOI":"10.1016\/j.cviu.2020.103003","volume":"197","author":"X Zhang","year":"2020","unstructured":"Zhang X, Wang T, Wang J, Tang G, Zhao L (2020) Pyramid channel-based feature attention network for image dehazing. Comput Vis Image Underst 197:103003","journal-title":"Comput Vis Image Underst"},{"issue":"3","key":"11301_CR40","doi-asserted-by":"publisher","first-page":"035004","DOI":"10.1117\/1.JRS.10.035004","volume":"10","author":"L Zhao","year":"2016","unstructured":"Zhao L, Tang P, Huo L (2016) Feature significance-based multibag-of-visual-words model for remote sensing image scene classification. J Appl Remote Sens 10(3):035004\u2013035004","journal-title":"J Appl Remote Sens"},{"issue":"11","key":"11301_CR41","doi-asserted-by":"publisher","first-page":"10890","DOI":"10.1109\/JSEN.2022.3172132","volume":"22","author":"L Zhao","year":"2022","unstructured":"Zhao L, Zhang Y, Cui Y (2022) An attention encoder-decoder network based on generative adversarial network for remote sensing image dehazing. IEEE Sens J 22(11):10890\u201310900","journal-title":"IEEE Sens J"},{"issue":"14","key":"11301_CR42","doi-asserted-by":"publisher","first-page":"8062","DOI":"10.1109\/JSEN.2020.2981719","volume":"20","author":"M Zheng","year":"2020","unstructured":"Zheng M, Qi G, Zhu Z, Li Y, Wei H, Liu Yu (2020) Image dehazing by an artificial image fusion method based on adaptive structure decomposition. IEEE Sens J 20(14):8062\u20138072","journal-title":"IEEE Sens J"},{"key":"11301_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2022.3225843","volume":"60","author":"Y Zheng","year":"2022","unstructured":"Zheng Y, Jia S, Zhang S, Tao M, Wang L (2022) Dehaze-aggan: unpaired remote sensing image dehazing using enhanced attention-guide generative adversarial networks. IEEE Trans Geosci Remote Sens 60:1\u201313","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"11301_CR44","doi-asserted-by":"publisher","first-page":"3522","DOI":"10.1109\/TIP.2015.2446191","volume":"24","author":"Q Zhu","year":"2015","unstructured":"Zhu Q, Mai J, Shao L (2015) A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process 24:3522\u20133533","journal-title":"IEEE Trans Image Process"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11301-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-023-11301-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11301-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T19:20:39Z","timestamp":1698520839000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-023-11301-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,14]]},"references-count":44,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["11301"],"URL":"https:\/\/doi.org\/10.1007\/s11063-023-11301-5","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,14]]},"assertion":[{"value":"18 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}