{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T01:25:06Z","timestamp":1778203506479,"version":"3.51.4"},"reference-count":39,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:00:00Z","timestamp":1730246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["No. 62402505"],"award-info":[{"award-number":["No. 62402505"]}]},{"name":"National Natural Science Foundation of China","award":["No.22-ZZCX-055"],"award-info":[{"award-number":["No.22-ZZCX-055"]}]},{"name":"National Natural Science Foundation of China","award":["No.XJZH2024006"],"award-info":[{"award-number":["No.XJZH2024006"]}]},{"name":"Independent Innovation Science Fund of National University of Defense Technology","award":["No. 62402505"],"award-info":[{"award-number":["No. 62402505"]}]},{"name":"Independent Innovation Science Fund of National University of Defense Technology","award":["No.22-ZZCX-055"],"award-info":[{"award-number":["No.22-ZZCX-055"]}]},{"name":"Independent Innovation Science Fund of National University of Defense Technology","award":["No.XJZH2024006"],"award-info":[{"award-number":["No.XJZH2024006"]}]},{"name":"Graduate Research Innovation Project of National University of Defense Technology","award":["No. 62402505"],"award-info":[{"award-number":["No. 62402505"]}]},{"name":"Graduate Research Innovation Project of National University of Defense Technology","award":["No.22-ZZCX-055"],"award-info":[{"award-number":["No.22-ZZCX-055"]}]},{"name":"Graduate Research Innovation Project of National University of Defense Technology","award":["No.XJZH2024006"],"award-info":[{"award-number":["No.XJZH2024006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>With the development of artificial intelligence and computer hardware, semantic communication has been attracting great interest. As an emerging communication paradigm, semantic communication can reduce the requirement for channel bandwidth by extracting semantic information. This is an effective method that can be applied to image acquisition of unmanned aerial vehicles, which can transmit high-data-volume images within the constraints of limited available bandwidth. However, the existing semantic communication schemes fail to adequately incorporate the guidance of task requirements into the semantic communication process and are difficult to adapt to the dynamic changes of tasks. A task-oriented image semantic communication scheme driven by knowledge base is proposed, aiming at achieving high compression ratio and high quality image reconstruction, and effectively solving the bandwidth limitation. This scheme segments the input image into several semantic information unit under the guidance of task requirements by Yolo-World and Segment Anything Model. The assigned bandwidth for each unit is according to the task relevance scores, which enables high-quality transmission of task-related information with lower communication overheads. An improved metric weighted learned perceptual image patch similarity (LPIPS) is proposed to evaluate the transmission accuracy of the novel scheme. Experimental results show that our scheme achieves a notable performance improvement on weighted LPIPS while the same compression ratio compared with traditional image compression schemes. Our scheme has a higher target capture ratio than traditional image compression schemes under the task of target detection.<\/jats:p>","DOI":"10.3390\/rs16214044","type":"journal-article","created":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T09:57:36Z","timestamp":1730368656000},"page":"4044","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Knowledge Base Driven Task-Oriented Image Semantic Communication Scheme"],"prefix":"10.3390","volume":"16","author":[{"given":"Chang","family":"Guo","sequence":"first","affiliation":[{"name":"College of Information and Communication, National University of Defense Technology, Wuhan 430000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junhua","family":"Xi","sequence":"additional","affiliation":[{"name":"College of Information and Communication, National University of Defense Technology, Wuhan 430000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanhao","family":"He","sequence":"additional","affiliation":[{"name":"College of Information and Communication, National University of Defense Technology, Wuhan 430000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3078-8532","authenticated-orcid":false,"given":"Jiaqi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information and Communication, National University of Defense Technology, Wuhan 430000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jungang","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Information and Communication, National University of Defense Technology, Wuhan 430000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2416","DOI":"10.1109\/TVT.2023.3299428","article-title":"BASIC: Distributed Task Assignment with Auction Incentive in UAV-Enabled Crowdsensing System","volume":"73","author":"Xu","year":"2024","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_2","first-page":"5601218","article-title":"Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images","volume":"62","author":"Hu","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2450211","DOI":"10.1142\/S0218126624502116","article-title":"A Convolutional Neural Network Image Compression Algorithm for UAVs","volume":"33","author":"Dai","year":"2024","journal-title":"J. Circuits Syst. Comput."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/s11571-023-10015-7","article-title":"A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT","volume":"18","author":"Zheng","year":"2024","journal-title":"Cogn. Neurodyn."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7204","DOI":"10.1002\/int.22586","article-title":"MR-DCAE: Manifold regularization-based deep convolutional autoencoder for unauthorized broadcasting identification","volume":"36","author":"Zheng","year":"2021","journal-title":"Int. J. Intell. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Huang, D., Tao, X., Gao, F., and Lu, J. (2021, January 7\u201311). Deep Learning-Based Image Semantic Coding for Semantic Communications. Proceedings of the 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain.","DOI":"10.1109\/GLOBECOM46510.2021.9685667"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"336","DOI":"10.23919\/JCIN.2021.9663101","article-title":"What Is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence","volume":"6","author":"Lan","year":"2021","journal-title":"J. Commun. Inf. Networks"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1016\/j.dcan.2023.02.006","article-title":"Semantic Segmentation-Based Semantic Communication System for Image Transmission","volume":"10","author":"Wu","year":"2024","journal-title":"Digit. Commun. Networks"},{"key":"ref_9","first-page":"398","article-title":"The Mathematical Theory of Communication","volume":"60","author":"Shannon","year":"1949","journal-title":"Philos. Rev."},{"key":"ref_10","first-page":"230","article-title":"An Outline of a Theory of Semantic Information","volume":"19","author":"Carnap","year":"1954","journal-title":"J. Symb. Log."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Bao, J., Basu, P., Dean, M., Partridge, C., Swami, A., Leland, W., and Hendler, J.A. (2011, January 22\u201324). Towards a Theory of Semantic Communication. Proceedings of the 2011 IEEE Network Science Workshop, West Point, NY, USA.","DOI":"10.1109\/NSW.2011.6004632"},{"key":"ref_12","first-page":"7","article-title":"A mathematical theory of semantic communication","volume":"45","author":"Niu","year":"2024","journal-title":"J. Commun."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2300","DOI":"10.1109\/JSAC.2022.3180802","article-title":"Nonlinear Transform Source-Channel Coding for Semantic Communications","volume":"40","author":"Dai","year":"2022","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1109\/JSAC.2022.3221948","article-title":"Semantic Communication System Based on Semantic Slice Models Propagation","volume":"41","author":"Dong","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Yoo, H., Jung, T., Dai, L., Kim, S., and Chae, C.B. (2022, January 16\u201320). Demo: Real-Time Semantic Communications with a Vision Transformer. Proceedings of the 2022 IEEE International Conference on Communications Workshops (ICC Workshops), Seoul, Republic of Korea.","DOI":"10.1109\/ICCWorkshops53468.2022.9914635"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/LWC.2022.3216994","article-title":"Domain Knowledge Driven Semantic Communication for Image Transmission Over Wireless Channels","volume":"12","author":"Li","year":"2023","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_17","unstructured":"Ma, S., Qiao, W., Wu, Y., Li, H., Shi, G., Gao, D., Shi, Y., Li, S., and Al-Dhahir, N. (2023). Features Disentangled Semantic Broadcast Communication Networks. arXiv, Available online: http:\/\/arxiv.org\/abs\/2303.01892."},{"key":"ref_18","unstructured":"Peng, X., Qin, Z., Tao, X., Lu, J., and Letaief, K.B. (2024). A Robust Semantic Communication System for Image. arXiv, Available online: http:\/\/arxiv.org\/abs\/2403.09222."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1109\/MNET.2023.3321547","article-title":"An Asynchronous Multi-Task Semantic Communication Method","volume":"38","author":"Tian","year":"2023","journal-title":"IEEE Netw."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1109\/JSAC.2022.3221991","article-title":"Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data","volume":"41","author":"Zhang","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/LCOMM.2023.3339534","article-title":"Selection-Based Image Generation for Semantic Communication Systems","volume":"28","author":"Liang","year":"2024","journal-title":"IEEE Commun. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2652","DOI":"10.1109\/LWC.2024.3429295","article-title":"Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models","volume":"13","author":"Qiao","year":"2024","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"ref_23","first-page":"261","article-title":"Recent Contributions to The Mathematical Theory of Communication","volume":"10","author":"Weaver","year":"1953","journal-title":"ETC A Rev. Gen. Semant."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/CC.2017.7839754","article-title":"A Theory of Semantic Information","volume":"14","author":"Zhong","year":"2017","journal-title":"China Commun."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MIE.2022.3174331","article-title":"Semantic Communications with Artificial Intelligence Tasks: Reducing Bandwidth Requirements and Improving Artificial Intelligence Task Performance","volume":"17","author":"Yang","year":"2023","journal-title":"IEEE Ind. Electron. Mag."},{"key":"ref_26","unstructured":"Sun, Q., Guo, C., Yang, Y., Chen, J., and Xue, X. (2022). Semantic-Assisted Image Compression. arXiv, Available online: http:\/\/arxiv.org\/abs\/2201.12599."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1109\/TPWRD.2023.3337274","article-title":"A Specific Task-Oriented Semantic Image Communication System for Substation Patrol Inspection","volume":"39","author":"Fan","year":"2024","journal-title":"IEEE Trans. Power Deliv."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"9248","DOI":"10.1109\/TWC.2023.3269444","article-title":"Task-Oriented Explainable Semantic Communications","volume":"22","author":"Ma","year":"2023","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/JSAC.2022.3221999","article-title":"Toward Semantic Communications: Deep Learning-Based Image Semantic Coding","volume":"41","author":"Huang","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_30","unstructured":"(2024, July 10). Semantic Drone Dataset. Available online: https:\/\/www.tugraz.at\/index.php?id=22387."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., and Wang, O. (2018, January 18\u201323). The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. Proceedings of the 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA.","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2688","DOI":"10.11834\/jrs.20222139","article-title":"MAR20: A Benchmark for Military Aircraft Recognition in Remote Sensing Images","volume":"27","author":"Yu","year":"2023","journal-title":"Natl. Remote Sens. Bull."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1007\/s11119-020-09777-5","article-title":"Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery","volume":"22","author":"Osco","year":"2021","journal-title":"Precis. Agric."},{"key":"ref_34","first-page":"212438858","article-title":"Low and mid-level features for target detection in satellite images","volume":"2","author":"Rajani","year":"2013","journal-title":"Int. J. Adv. Res. Comput. Eng. Technol."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wang, Z., Yang, P., Liang, H., and Cui, W. (2021). Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery. Remote. Sens., 14.","DOI":"10.3390\/rs14010045"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Gottschalk, S., and Demidova, E. (2018, January 3\u20137). EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph. Proceedings of the ESWC 2018 Satellite Events, Heraklion, Crete, Greece.","DOI":"10.1007\/978-3-319-98192-5_31"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s00530-024-01398-6","article-title":"A channel-gained single-model network with variable rate for multispectral image compression in UAV air-to-ground remote sensing","volume":"30","author":"Wang","year":"2024","journal-title":"Multimed. Syst."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"7001104","DOI":"10.1109\/LSENS.2023.3349112","article-title":"FBSE-Based JPEG Image Compression","volume":"8","author":"Chaudhary","year":"2024","journal-title":"IEEE Sensors Lett."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s11760-024-03163-8","article-title":"A deep learning based multi-image compression technique","volume":"18","author":"Barman","year":"2024","journal-title":"Signal Image Video Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/21\/4044\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:24:35Z","timestamp":1760113475000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/21\/4044"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,30]]},"references-count":39,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["rs16214044"],"URL":"https:\/\/doi.org\/10.3390\/rs16214044","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,30]]}}}