李光祚,中国科学院空天信息创新研究院,研究员。研究方向为多源遥感信号与信息处理应用,重点开展星载sar成像信号处理、sar卫星成像干扰与抗干扰、巨星座系统设计与数据处理应用等方面研究。先后主持10余项预先研究和重大工程研制任务,经费累计超过6亿元。现担任中国科学院大学研究生导师、空天院网络电磁空间信息技术研究部(第十三部)部门负责人,在国内外学术期刊、会议发表学术论文31篇,授权/受理专利14项,曾获省部级一等奖、二等奖。
工作经历:
2024.12—至今 中国科学院空天信息创新研究院 研究员
2020.12—2024.12 中国科学院空天信息创新研究院 副研究员
2020.10—2020.11 中国科学院空天信息创新研究院 助理研究员
卫星遥感信号与信息处理
(1)巨星座系统体系设计 负责人 国家任务 2024.04—2028.12
(2)网络智能信息系统体系研究 负责人 国家任务 2023.10—2026.12
(3)重点研发计划-信号接收与分析 负责人 国家任务 2022.12—2024.11
(4)多源信号数据中心 负责人 国家任务 2022.09—2024.12
(5)成像雷达宽带正交波形设计 负责人 预先研究 2023.12—2025.12
(1)学术论文
[1] xu, z., zhang, b., li, g., zhan, x., bao, y., & wu, y. (2024). analysis of phase preservation and interferometric offset test in sparse sar imaging. science china information sciences, 67(2), 122303. (sci)
[2] zuo, y., li, g., ren, w., & hu, y. (2024). a deep similarity clustering network with compound regularization for unsupervised polsar image classification. ieee journal of selected topics in applied earth observations and remote sensing. (sci)
[3] zhang, j., zhang, w., zhou, x., chu, q., yin, x., li, g., ... & jin, f. (2024). cnn and transformer fusion network for sea ice classification using gaofen-3 polarimetric sar images. ieee journal of selected topics in applied earth observations and remote sensing. (sci)
[4] zhang, w., dai, x., chu, q., liao, z., hu, s., zhang, j., li, g., ... & jin, f. (2024). ffssnet: fast fine semantic segmentation network for gf-3 sar images in building areas. ieee journal of selected topics in applied earth observations and remote sensing. (sci)
[5] zhang, w., zhang, j., chu, q., dai, x., ding, h., & li, g. (2023, december). researches on polarimetric decomposition and 3dcnn for arctic sea ice classification using gaofen-3 fully polarimetric sar data. in iet international radar conference (irc 2023) (vol. 2023, pp. 3122-3128). iet. (ei)
[6] zhang, w., dai, x., chu, q., zhang, j., ding, h., & li, g. (2023, december). sfdfnet: single-path feature deep fusion network for fast semantic segmentation of sar images in building areas. in iet international radar conference (irc 2023) (vol. 2023, pp. 3687-3693). iet. (ei)
[7] zuo, y., li, g., & ren, w. (2023). a deep similarity-based network with compound regularization for unsupervised polsar image classification. (ei)
[8] shen, j., han, b., pan, z., li, g., hu, y., & ding, c. (2022). learning time–frequency information with prior for sar radio frequency interference suppression. ieee transactions on geoscience and remote sensing, 60, 1-16. (sci)
[9] lyu, q., han, b., li, g., sun, w., pan, z., hong, w., & hu, y. (2021). sar interference suppression algorithm based on low-rank and sparse matrix decomposition in time–frequency domain. ieee geoscience and remote sensing letters, 19, 1-5. (sci)
[10] li, g., fang, s., han, b., zhang, z., hong, w., & wu, y. (2020). compensation of phase errors for spotlight sar with discrete azimuth beam steering based on entropy minimization. ieee geoscience and remote sensing letters, 18(5), 841-845. (sci)
[11] li, g., zhang, z., zhang, y., fang, s., hong, w., & wu, y. (2020). estimation and correction of vibration-induced range cell migration for fmcw synthetic aperture ladar. applied optics, 59(9), 2874-2882. (sci)
[12] mo, d., wang, n., wang, r., song, z. q., li, g. z., & wu, y. r. (2019). single-frequency ladar super-resolution doppler tomography for extended targets. optics express, 27(9), 12923-12938. (sci)
[13] mo, d., wang, n., li, g., wang, r., & wu, y. (2018). 3-d inverse synthetic aperture ladar imaging and scaling of space debris based on the fractional fourier transform. ieee geoscience and remote sensing letters, 16(2), 236-240. (sci)
[14] wang, n., wang, r., mo, d., li, g., zhang, k., & wu, y. (2018). inverse synthetic aperture ladar demonstration: system structure, imaging processing, and experiment result. applied optics, 57(2), 230-236. (sci)
[15] li, g., wang, n., mo, d., wang, r., zhang, z., & wu, y. (2017). inverse synthetic aperture ladar imaging with stepped‐frequency continuous waveform. electronics letters, 53(21), 1424-1426. (sci)
[16] li, g., wang, n., mo, d., wang, r., zhang, z., & wu, y. (2017). inverse synthetic aperture ladar imaging with stepped‐frequency continuous waveform. electronics letters, 53(21), 1424-1426. (sci)
[17] li, g., wang, n., wang, r., zhang, k., & wu, y. (2017). imaging method for airborne sal data. electronics letters, 53(5), 351-353. (sci)
[18] mo, d., wang, r., li, g. z., wang, n., zhang, k. s., & wu, y. r. (2017). double-sideband frequency scanning interferometry for long-distance dynamic absolute measurement. applied physics b, 123, 1-8. (sci)
[19] wang, n., wang, r., li, g., zhang, k., & wu, y. (2016, october). experiment of inverse synthetic aperture ladar at 1.1 km. in optical measurement technology and instrumentation (vol. 10155, pp. 375-378). spie. (ei)
[20] li, g., wang, r., wang, p., zhang, k., & wu, y. (2016, october). synthetic aperture ladar at 1550 nm: system demonstration, imaging processing and experimental result. in optical measurement technology and instrumentation (vol. 10155, pp. 896-899). spie. (ei)
(1)2022年省部级二等奖
(2)2014年省部级一等奖
(3)2010年省部级二等奖
研究队伍