{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:29:43Z","timestamp":1780586983395,"version":"3.54.1"},"reference-count":38,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T00:00:00Z","timestamp":1717113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>As the variety of space targets expands, two-dimensional (2D) ISAR images prove insufficient for target recognition, necessitating the extraction of three-dimensional (3D) information. The 3D geometry reconstruction method utilizing energy accumulation of ISAR image sequence (ISEA) facilitates superior reconstruction while circumventing the laborious steps associated with factorization methods. Nevertheless, ISEA\u2019s neglect of valid information necessitates a high quantity of images and elongated operation times. This paper introduces a partitioned parallel 3D reconstruction method utilizing sorted-energy semi-accumulation with ISAR image sequences (PP-ISEA) to address these limitations. The PP-ISEA innovatively incorporates a two-step search pattern\u2014coarse and fine\u2014that enhances search efficiency and conserves computational resources. It introduces a novel objective function \u2018sorted-energy semi-accumulation\u2019 to discern genuine scatterers from spurious ones and establishes a redundant point exclusion module. Experiments on the scatterer model and simulated electromagnetic model demonstrate that the PP-ISEA reduces the minimum image requirement from ten to four for high-quality scatterer model reconstruction, thereby offering superior reconstruction quality in less time.<\/jats:p>","DOI":"10.3390\/s24113550","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T06:35:32Z","timestamp":1717137332000},"page":"3550","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["PP-ISEA: An Efficient Algorithm for High-Resolution Three-Dimensional Geometry Reconstruction of Space Targets Using Limited Inverse Synthetic Aperture Radar Images"],"prefix":"10.3390","volume":"24","author":[{"given":"Rundong","family":"Wang","sequence":"first","affiliation":[{"name":"Space Engineering University, Beijing 101400, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weigang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Space Engineering University, Beijing 101400, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenxuan","family":"Li","sequence":"additional","affiliation":[{"name":"Space Engineering University, Beijing 101400, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bakun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Space Engineering University, Beijing 101400, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongfeng","family":"Pang","sequence":"additional","affiliation":[{"name":"Space Engineering University, Beijing 101400, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TAES.1980.308873","article-title":"Target-Motion-Induced Radar Imaging","volume":"16","author":"Chen","year":"1980","journal-title":"IEEE Trans. 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