{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T20:28:09Z","timestamp":1783542489970,"version":"3.55.0"},"reference-count":50,"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\/501100006407","name":"Henan Province Natural Science Foundation","doi-asserted-by":"publisher","award":["252300421880"],"award-info":[{"award-number":["252300421880"]}],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100016360","name":"Zhongyuan University of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100016360","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61901537"],"award-info":[{"award-number":["61901537"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing: Image Communication"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.image.2026.117644","type":"journal-article","created":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T23:53:28Z","timestamp":1782431608000},"page":"117644","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["ASG-TFANet: Adaptive skip gate enhanced temporal-frequency aggregation network for multi-scale remote sensing image segmentation"],"prefix":"10.1016","volume":"148","author":[{"given":"Lijun","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bicao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengxing","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danting","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoting","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.image.2026.117644_bib0001","doi-asserted-by":"crossref","first-page":"6118","DOI":"10.1109\/TCYB.2024.3392474","article-title":"Relational part-aware learning for complex composite object detection in high-resolution remote sensing images","volume":"54","author":"Yuan","year":"2024","journal-title":"IEEE Trans Cybern."},{"key":"10.1016\/j.image.2026.117644_bib0002","first-page":"1","article-title":"Wind-generated gravity waves retrieval from high-resolution 2-D maps of sea surface elevation by airborne interferometric altimeter","volume":"19","author":"Jiang","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0003","first-page":"1","article-title":"Ship segmentation via encoder\u2013decoder network with global attention in high-resolution SAR images","volume":"19","author":"Li","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0004","doi-asserted-by":"crossref","first-page":"2584","DOI":"10.1109\/TIP.2022.3157450","article-title":"Multi-modal remote sensing image matching considering Co-occurrence filter","volume":"31","author":"Yao","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.image.2026.117644_bib0005","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 J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0006","first-page":"1","article-title":"Edge-preserving filtering-based dehazing for remote sensing images","volume":"19","author":"Han","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"7\/8","key":"10.1016\/j.image.2026.117644_bib0007","doi-asserted-by":"crossref","first-page":"2761","DOI":"10.1080\/01431161.2024.2338232","article-title":"Semantic segmentation for multisource remote sensing images incorporating feature slice reconstruction and attention upsampling","volume":"45","author":"Lang","year":"2024","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.agwat.2021.107298","article-title":"Using multimodal remote sensing data to estimate regional-scale soil moisture content: a case study of Beijing, China","volume":"260","author":"Cheng","year":"2022","journal-title":"Agric. Water Manag."},{"key":"10.1016\/j.image.2026.117644_bib0009","first-page":"580","article-title":"RSProtoSemiSeg: semi-supervised semantic segmentation of high spatial resolution remote sensing images with probabilistic distribution prototypes","volume":"220","author":"Qian","year":"2025","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"1","key":"10.1016\/j.image.2026.117644_bib0010","doi-asserted-by":"crossref","DOI":"10.1080\/15481603.2024.2356355","article-title":"Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images","volume":"61","author":"Li","year":"2024","journal-title":"GIsci. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0011","series-title":"Advanced Methods and Deep Learning in Computer Vision","first-page":"275","article-title":"Domain adaptation and continual learning in semantic segmentation","author":"Michieli","year":"2022"},{"key":"10.1016\/j.image.2026.117644_bib0012","article-title":"DIPONet: dual-information progressive optimization network for salient object detection","volume":"126","author":"Liu","year":"2022","journal-title":"Digit Signal Proc."},{"key":"10.1016\/j.image.2026.117644_bib0013","unstructured":"I. Sotheran, J. Davies, A. Davison, Underwater remote sensing integrating aerial photographs and acoustic ground discrimination systems, (2022)."},{"key":"10.1016\/j.image.2026.117644_bib0014","doi-asserted-by":"crossref","unstructured":"B. Farooq, A. Manocha, A comparative study of deep learning and traditional methods for environmental remote sensing, (2023).","DOI":"10.1051\/itmconf\/20235603002"},{"key":"10.1016\/j.image.2026.117644_bib0015","first-page":"1","article-title":"Unsupervised domain adaptation for remote sensing image semantic segmentation using region and category adaptive domain discriminator","volume":"60","author":"Chen","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.infrared.2022.104039","article-title":"Edge protection filtering and convolutional neural network for hyperspectral remote sensing image classification","volume":"122","author":"Lv","year":"2022","journal-title":"Infrared Phys. Technol."},{"key":"10.1016\/j.image.2026.117644_bib0017","first-page":"1","article-title":"EFCNet: ensemble full convolutional network for semantic segmentation of high-resolution remote sensing images","volume":"19","author":"Chen","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0018","doi-asserted-by":"crossref","first-page":"6567","DOI":"10.1109\/JSTARS.2025.3540782","article-title":"SR-DNnet: a deep network for super-resolution and de-noising of ISAR images","volume":"18","author":"Liu","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0019","doi-asserted-by":"crossref","first-page":"165","DOI":"10.3390\/ijgi11030165","article-title":"Multi-Resolution transformer network for building and road segmentation of remote sensing image","volume":"11","author":"Zhongyu","year":"2022","journal-title":"ISPRS Int. J. Geoinf."},{"key":"10.1016\/j.image.2026.117644_bib0020","first-page":"1","article-title":"Object detection in large-scale remote-sensing images based on time-frequency analysis and feature optimization","volume":"60","author":"Bai","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0021","first-page":"1","article-title":"Hybrid dilated convolution guided feature filtering and enhancement strategy for hyperspectral image classification","volume":"19","author":"Liu","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0022","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1049\/ipr2.12096","article-title":"Pre-training of gated convolution neural network for remote sensing image super-resolution","volume":"15","author":"Peng","year":"2021","journal-title":"IET Image Process."},{"key":"10.1016\/j.image.2026.117644_bib0023","first-page":"417","article-title":"Segmentation and density statistics of mariculture cages from remote sensing images using mask R-CNN","volume":"9","author":"Yu","year":"2022","journal-title":"Inf. Process. Agric."},{"key":"10.1016\/j.image.2026.117644_bib0024","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.isprsjprs.2024.05.022","article-title":"TSI-Siamnet: a Siamese network for cloud and shadow detection based on time-series cloudy images","volume":"213","author":"Wang","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0025","first-page":"1","article-title":"SwinSUNet: pure transformer network for remote sensing image change detection","volume":"60","author":"Zhang","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0026","doi-asserted-by":"crossref","first-page":"533","DOI":"10.3390\/rs14030533","article-title":"Semantic segmentation of very-high-resolution remote sensing images via deep Multi-feature learning","volume":"14","author":"Su","year":"2022","journal-title":"Remote Sens."},{"issue":"22","key":"10.1016\/j.image.2026.117644_bib0027","doi-asserted-by":"crossref","first-page":"8614","DOI":"10.1080\/01431161.2025.2571233","article-title":"CW-SwinUNet: a novel semantic segmentation approach for very-high-resolution remote sensing imagery","volume":"46","author":"Chang","year":"2025","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0028","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1016\/j.isprsjprs.2025.01.017","article-title":"Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: from benchmark datasets to urban applications","volume":"220","author":"Wang","year":"2025","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0029","doi-asserted-by":"crossref","first-page":"348","DOI":"10.3390\/agriculture15030348","article-title":"Cascade DeepLab Net: a method for accurate extraction of fragmented cultivated land in mountainous areas based on a cascaded network","volume":"15","author":"Fang","year":"2025","journal-title":"Agriculture"},{"issue":"1","key":"10.1016\/j.image.2026.117644_bib0030","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11554-025-01622-0","article-title":"LKR-DETR: small object detection in remote sensing images based on multi-large kernel convolution","volume":"22","author":"Dong","year":"2025","journal-title":"J. Real-Time Image Process."},{"key":"10.1016\/j.image.2026.117644_bib0031","first-page":"1","article-title":"DSFPAP-net: deeper and stronger feature path aggregation pyramid network for object detection in remote sensing images","volume":"21","author":"Jiang","year":"2024","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0032","doi-asserted-by":"crossref","first-page":"32","DOI":"10.26599\/BDMA.2021.9020017","article-title":"Deep convolutional network based machine intelligence model for satellite cloud image classification","volume":"6","author":"Jena","year":"2023","journal-title":"Big Data Min. Anal."},{"key":"10.1016\/j.image.2026.117644_bib0033","first-page":"1","article-title":"ConDinet++: full-scale fusion network based on conditional dilated convolution to extract roads from remote sensing images","volume":"19","author":"Yang","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0034","first-page":"5519","article-title":"An enhancement model based on dense atrous and inception convolution for image semantic segmentation","volume":"53","author":"Zhou","year":"2023","journal-title":"Appl. Intell."},{"key":"10.1016\/j.image.2026.117644_bib0035","first-page":"1","article-title":"Semantic segmentation of remote sensing image based on regional self-attention mechanism","volume":"19","author":"Zhao","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"13","key":"10.1016\/j.image.2026.117644_bib0036","article-title":"Remote sensing image super-resolution reconstruction method for ship target recognition","volume":"60","author":"Tianlin","year":"2024","journal-title":"J. Comput. Eng. Appl."},{"issue":"8","key":"10.1016\/j.image.2026.117644_bib0037","doi-asserted-by":"crossref","first-page":"4210","DOI":"10.1109\/TFUZZ.2024.3391389","article-title":"Intuitionistic fuzzy stochastic configuration networks for solving binary classification problems","volume":"32","author":"Guo","year":"2024","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.image.2026.117644_bib0038","doi-asserted-by":"crossref","first-page":"6567","DOI":"10.1109\/JSTARS.2025.3540782","article-title":"SR-DNnet: a deep network for super-resolution and de-noising of ISAR images","volume":"18","author":"Liu","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0039","doi-asserted-by":"crossref","unstructured":"Q. Chen, L. Yang, J. Lai, X. Xie, Self-supervised image-specific prototype exploration for weakly supervised semantic segmentation, (2022).","DOI":"10.1109\/CVPR52688.2022.00425"},{"key":"10.1016\/j.image.2026.117644_bib0040","first-page":"1","article-title":"Synchrosqueezing optimal basic wavelet transform and its application on sedimentary cycle division","volume":"60","author":"Tian","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"15","key":"10.1016\/j.image.2026.117644_bib0041","doi-asserted-by":"crossref","first-page":"6616","DOI":"10.3390\/app14156616","article-title":"A novel global-local feature aggregation framework for semantic segmentation of large-format high-resolution remote sensing images","volume":"14","author":"Wang","year":"2024","journal-title":"Appl. Sci"},{"key":"10.1016\/j.image.2026.117644_bib0042","doi-asserted-by":"crossref","first-page":"2761","DOI":"10.1080\/01431161.2024.2338232","article-title":"Semantic segmentation for multisource remote sensing images incorporating feature slice reconstruction and attention upsampling","volume":"45","author":"Lang","year":"2024","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0043","first-page":"1","article-title":"A multibranch embedding network with Bi-classifier for few-shot ship classification of SAR images","volume":"63","author":"Gao","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0044","first-page":"1","article-title":"An improved unscale S-transform in frequency domain","volume":"20","author":"Zhang","year":"2023","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.image.2026.117644_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2025.110681","article-title":"Navigation path extraction for farmland headlands via red-green-blue and depth multimodal fusion based on an improved DeepLabv3+ model","volume":"151","author":"Wu","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.image.2026.117644_bib0046","doi-asserted-by":"crossref","first-page":"6616","DOI":"10.3390\/app14156616","article-title":"A novel global-local feature aggregation framework for semantic segmentation of large-format high-resolution remote sensing images","volume":"14","author":"Wang","year":"2024","journal-title":"Appl. Sci"},{"key":"10.1016\/j.image.2026.117644_bib0047","doi-asserted-by":"crossref","first-page":"1954","DOI":"10.4081\/jae.2025.1954","article-title":"A review of deep learning based agricultural remote sensing image segmentation","volume":"57","author":"Ren","year":"2025","journal-title":"J. Agric. Eng"},{"key":"10.1016\/j.image.2026.117644_bib0048","first-page":"580","article-title":"RSProtoSemiSeg: semi-supervised semantic segmentation of high spatial resolution remote sensing images with probabilistic distribution prototypes","volume":"220","author":"Qian","year":"2025","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.image.2026.117644_bib0049","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1016\/j.isprsjprs.2025.01.017","article-title":"Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: from benchmark datasets to urban applications","volume":"220","author":"Wang","year":"2025","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"000","key":"10.1016\/j.image.2026.117644_bib0050","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1016\/j.isprsjprs.2025.01.017","article-title":"Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: from benchmark datasets to urban applications","volume":"220","author":"Wang","year":"2025","journal-title":"ISPRS J. Photogramm. Remote Sens."}],"container-title":["Signal Processing: Image Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0923596526001670?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0923596526001670?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T19:48:20Z","timestamp":1783540100000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0923596526001670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":50,"alternative-id":["S0923596526001670"],"URL":"https:\/\/doi.org\/10.1016\/j.image.2026.117644","relation":{},"ISSN":["0923-5965"],"issn-type":[{"value":"0923-5965","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ASG-TFANet: Adaptive skip gate enhanced temporal-frequency aggregation network for multi-scale remote sensing image segmentation","name":"articletitle","label":"Article Title"},{"value":"Signal Processing: Image Communication","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.image.2026.117644","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"117644"}}