{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:50:14Z","timestamp":1777704614726,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,10,4]]},"abstract":"<jats:p>In order to solve the problems with the traditional aircraft target type recognition algorithm, such as difficulty in feature selection, weak generalization ability, slow recognition speed, and low recognition accuracy, this paper put forward a new method that could detect and recognize aircraft targets in aerial images quickly and accurately. The aircraft targets in the images were detected rapidly and located through YOLOv3-tiny, and after image denoising, shadow detection, and positioning, then we used the Sobel operator to calculate the edge gradient of the target; the image of the aircraft target was segmented by using the region growth method, and then the principal component analysis (PCA)was used to obtain the central axis of the aircraft target. The projected distance from the edge contour to the central axis was sampled at equal intervals along the direction of the central axis, and its ratio to the length of the central axis was calculated to construct the feature vector. Finally, the Spearman rank correlation method was used to match the feature vectors to realize the recognition of the aircraft type. Experiments showed that the proposed method had strong adaptability and small computation and could quickly detect and accurately recognize aircraft targets in aerial images.<\/jats:p>","DOI":"10.3233\/jifs-232239","type":"journal-article","created":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T11:52:16Z","timestamp":1690285936000},"page":"5685-5696","source":"Crossref","is-referenced-by-count":4,"title":["Aircraft target type recognition technology based on deep learning and structure feature matching"],"prefix":"10.1177","volume":"45","author":[{"given":"Haiyang","family":"Shen","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Chaohu University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kui","family":"Huo","sequence":"additional","affiliation":[{"name":"School of Physics and Electronic Engineering, Shanxi University, Taiyuan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Qiao","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Chaohu University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongzhi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Chaohu University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/JIFS-232239_ref1","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1049\/ip-vis:20049020","article-title":"Aircraft type recognition in satellite images","volume":"152","author":"Hsieh","year":"2005","journal-title":"IEE Proceedings-Vision, Image and Signal Processing"},{"key":"10.3233\/JIFS-232239_ref2","first-page":"1","article-title":"Remote aircraft target recognition method based on superpixel segmentation and image reconstruction","volume":"2020","author":"Yantong Chen","year":"2020","journal-title":"Mathematical Problems in Engineering"},{"issue":"10","key":"10.3233\/JIFS-232239_ref3","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1080\/2150704X.2015.1072288","article-title":"Objectrecognition in remote sensing images using sparse deep beliefnetworks","volume":"6","author":"Diao","year":"2015","journal-title":"Remote Sens Lett"},{"issue":"8","key":"10.3233\/JIFS-232239_ref5","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1109\/LGRS.2017.2715858","article-title":"Aircraft recognition based on landmark detection in remote sensing images","volume":"14","author":"Zhao","year":"2017","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"08","key":"10.3233\/JIFS-232239_ref6","first-page":"92","article-title":"Aircraft Target Identification Based on Infrared Image and Feature Fusion","volume":"23","author":"Li Ping","year":"2016","journal-title":"Electronics Optics & 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