????張柘，中國科學(xué)院空天信息創(chuàng )新研究院、蘇州空天信息研究院，研究員、博士生導師。研究方向為新體制SAR成像與信號處理技術(shù)，重點(diǎn)開(kāi)展稀疏信號處理、稀疏微波成像、信號處理與深度學(xué)習結合等領(lǐng)域研究。為國家高層次青年人才項目入選者、中科院高層次青年引進(jìn)人才，江蘇省“雙創(chuàng )人才”，蘇州市“姑蘇領(lǐng)軍人才”，入選2022年中國科學(xué)院“青年交叉團隊”成員。曾參與國家973項目、美國NSF項目、美國國防部SBIR項目等；現主持國家“海外優(yōu)青”、中科院重點(diǎn)部署課題、中科院空天院重點(diǎn)部署項目、蘇州市科技計劃等項目，參與國家自然科學(xué)基金重大、科技委基礎加強、創(chuàng )新特區等項目多項，參與多顆星載SAR的數據處理工作。發(fā)表論文50余篇，申請發(fā)明專(zhuān)利5項，擔任國內外6個(gè)SCI期刊審稿人、MiViSAR2022國際會(huì )議學(xué)術(shù)程序主席、10余個(gè)國際會(huì )議TPC成員。獲2021年首屆科技部全國顛覆性技術(shù)創(chuàng )新大賽優(yōu)勝獎、總決賽優(yōu)秀獎。
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工作經(jīng)歷：
2023.01-現在??????????蘇州空天信息研究院22室???????????????????????????主任助理/學(xué)術(shù)帶頭人
2022.04-現在??????????中國科學(xué)院空天信息創(chuàng )新研究院/蘇州空天信息研究院??研究員
2021.01-2022.04???????中國科學(xué)院空天信息創(chuàng )新研究院/蘇州空天信息研究院??副研究員/創(chuàng )新研究員
2016.12-2020.06???????喬治梅森大學(xué)?????????????????????????????????????博士后研究員
2015.12-2016.01???????喬治華盛頓大學(xué)???????????????????????????????????博士后研究員
稀疏信號處理、稀疏微波成像、新體制SAR成像與信號處理技術(shù)、信號處理與深度學(xué)習結合
（1）稀疏信號處理及其在微波成像中的應用研究，負責人，國家任務(wù)，2023-01--2025-12
（2）稀疏信號處理與深度學(xué)習及其在微波成像中的應用，負責人，中國科學(xué)院計劃，2021-01--2024-01
（3）＊＊＊＊＊＊＊SAR成像處理與信息提取，負責人，中國科學(xué)院計劃，2022-01—2024-12
（4）結構信號的自適應高效感知及在微波成像中的應用研究，負責人，中國科學(xué)院空天信息創(chuàng )新研究院自主部署，2021-07--2023-07
（5）街角盲區建筑布局重建機理與方法，參與，國家任務(wù)，2023-01—2025-12
（6）合成孔徑雷達微波視覺(jué)三維成像理論與應用基礎研究，參與，國家任，2020-01--2024-12
（7）微波三維成像的高效感知系統與技術(shù)的研發(fā)，主持，蘇州市科技計劃，2021-12--2024-12
（8）先進(jìn)微波探測與信息處理，參與，中國科學(xué)院計劃，2010-01--2014-12
（9）稀疏微波的成像理論、體制和方法研究，參與，國家任務(wù)，2010-01--2014-12
[1]Y. Zhao, Y. Chen, H. Tian, X. Quan, B. W.-K. Ling, and Z. Zhang*, “Wide angle SAR imaging method based on hybrid representation,” Electron. Lett., vol. 59, no. 15, p. e12897, Aug. 2023, doi: 10.1049/ell2.12897.
[2]R. Shi, Z. Zhang*, X. Qiu, and C. Ding, “A Novel Gradient Descent Least-Squares (GDLSs) Algorithm for Efficient Gridless Line Spectrum Estimation With Applications in Tomographic SAR Imaging,” IEEE Trans. Geosci. Remote Sens., vol. 61, pp. 1–13, 2023, doi: 10.1109/TGRS.2023.3273568.
[3]M. Wang, Z. Zhang*, X. Qiu, S. Gao, and Y. Wang, “ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging With Adaptive Threshold,” IEEE Trans. Geosci. Remote Sens., vol. 61, pp. 1–18, 2023, doi: 10.1109/TGRS.2023.3268132.
[4]J. Li, Z. Xu, Z. Li, Z. Zhang*, B. Zhang, and Y. Wu, “An Unsupervised CNN-based Multichannel Interferometric Phase Denoising Method Applied to TomoSAR Imaging,”? IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 16, pp. 3784–3796, Jul. 2023, doi: 10.1109/JSTARS.2023.3263964.
[5]康健*, 童風(fēng)雨, 白雨松, 丁翔, 冀騰宇, and 張柘*, “基于對數域矩陣分解的時(shí)序SAR圖像相干斑抑制及成分分析方法,” 雷達學(xué)報, 已錄用.
[6]P. Jiang, Z. Zhang*, B. Zhang, and Z. Xu, “A novel TomoSAR imaging method with few observations based on nested array,” IET Radar, Sonar Navig., vol. 17, no. 6, pp. 925–938, Jun. 2023, doi: 10.1049/rsn2.12388.
[7]Z. Xu, B. Zhang, Z. Zhang*, M. Wang, and Y. Wu, “Nonconvex-Nonlocal Total Variation Regularization Based Joint Feature-Enhanced Sparse SAR Imaging,” IEEE Geosci. Remote Sens. Lett., vol. 19, pp. 1–1, 2022, doi: 10.1109/lgrs.2022.3222185.
[8]Y. Zhao, W. Huang, X. Quan, W.-K. Ling, and Z. Zhang*, “Data-driven sampling pattern design for sparse spotlight SAR imaging,” Electron. Lett., Oct. 2022, doi: 10.1049/ELL2.12650.
[9]Z. Xu, G. Zhou, B. Zhang, Z. Zhang*, and Y. Wu, “Sparse regularization method combining SVA for feature enhancement of SAR images,” Electron. Lett., Jun. 2022, doi: 10.1049/ell2.12509.
[10]趙曜, 許俊聰, 全相印, 崔莉, and 張柘*, “基于稀疏和低秩結構的層析SAR成像方法,” 雷達學(xué)報, vol. 11, no. 1, pp. 52–61, 2022, doi: 10.12000/JR21210.
[11]Z. Zhang et al., “Embedded micro radar for pedestrian detection in clutter,” in 2020 IEEE International Radar Conference, RADAR 2020, Apr. 2020, pp. 368–372. doi: 10.1109/RADAR42522.2020.9114544.
[12]Z. Zhang, Y. Wang, and Z. Tian, “Efficient two-dimensional line spectrum estimation based on decoupled atomic norm minimization,” Signal Processing, vol. 163, no. Xx, pp. 95–106, Oct. 2019, doi: 10.1016/j.sigpro.2019.04.024.
[13]Z. Wang, X. Lin, X. Xiang, Z. Zhang, Z. Tian, K. Pham, E. Blasch, and G. Chen, “A hidden chamber detector based on a MIMO SAR,” in Sensors and Systems for Space Applications XII, Jul. 2019, vol. 11017, no. 29, p. 6. doi: 10.1117/12.2520643.
[14]Z. Zhang, X. Chen, and Z. Tian, “A hybrid neural network framework and application to radar automatic target recognition,” 2018 IEEE Glob. Conf. Signal Inf. Process. Glob. 2018 - Proc., pp. 246–250, 2018, doi: 10.1109/GlobalSIP.2018.8646582.
[15]Z. Zhang and Z. Tian, “ANM-PhaseLift: Structured line spectrum estimation from quadratic measurements,” 2017 IEEE 7th Int. Work. Comput. Adv. Multi-Sensor Adapt. Process. CAMSAP 2017, vol. 2017-Decem, no. 2, pp. 1–4, 2018, doi: 10.1109/CAMSAP.2017.8313194.
[16]Z. Tian, Z. Zhang*, and Y. Wang, “Low-complexity optimization for two-dimensional direction-of-arrival estimation via decoupled atomic norm minimization,” in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2017, pp. 3071–3075. doi: 10.1109/ICASSP.2017.7952721.
[17]張柘, 張冰塵, 洪文, and 吳一戎, “結合MD自聚焦算法與回波模擬算子的快速稀疏微波成像誤差補償算法,” 雷達學(xué)報, vol. 5, no. 1, pp. 25–34, Feb. 2016, doi: 10.12000/JR15055.
[18]Z. Zhang, Z. Tian, B. Zhang, W. Hong, Y. Wu, and L. Li, “Multi-channel SAR covariance matrix estimation based on compressive covariance sensing,” in 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016, Sep. 2016, vol. 1, pp. 37–41. doi: 10.1109/CoSeRa.2016.7745695.
[19]Z. Zhang, B. Zhang, W. Hong, H. Bi, and Y. Wu, “SAR imaging of moving target in a sparse scene based on sparse constraints: Preliminary experiment results,” in International Geoscience and Remote Sensing Symposium (IGARSS), 2015, vol. 2015-Novem, pp. 2844–2847. doi: 10.1109/IGARSS.2015.7326407.
[20]B. C. Zhang, Z. Zhang*, C. L. Jiang, Y. Zhao, W. Hong, and Y. R. Wu, “System design and first airborne experiment of sparse microwave imaging radar: initial results,” Sci. China Inf. Sci., vol. 58, no. 6, pp. 1–10, 2015, doi: 10.1007/s11432-014-5266-6.
[21]吳一戎, 洪文, 張冰塵, 蔣成龍, 張柘, and 趙曜, “稀疏微波成像研究進(jìn)展(科普類(lèi)),” 雷達學(xué)報, vol. 3, no. 4, pp. 383–395, 2014, doi: 10.3724/SP.J.1300.2014.14105.
[22]W. Hong, B. Zhang, Z. Zhang*, C. Jiang, Y. Zhao, and Y. Wu, “Radar imaging with sparse constraint: Principle and initial experiment,” Proc. Eur. Conf. Synth. Aperture Radar, EUSAR, vol. Proceeding, pp. 1235–1238, 2014.
[23]Z. Zhang, Y. Zhao, C. Jiang, B. Zhang, W. Hong, and Y. Wu, “Autofocus of sparse microwave imaging radar based on phase recovery,” 2013 IEEE Int. Conf. Signal Process. Commun. Comput. ICSPCC 2013, 2013, doi: 10.1109/ICSPCC.2013.6663989.
[24]Z. Zhang, Y. Zhao, C. Jiang, B. Zhang, W. Hong, and Y. Wu, “Initial Analysis of SNR / Sampling Rate Constraints in Compressive Sensing based Imaging Radar,” 2nd Work. Compressive Sensng Appl. to Radar (CoSeRa 2013), vol. 55, no. 8, p. 100190, 2013.
[25]B. Zhang, Z. Zhang*, W. Hong, and Y. Wu, “Applications of Distributed Compressive Sensing in Multi-channel Synthetic Aperture Radar,” in Workshop on Compressive Sensng Applied to Radar (CoSeRa) 2012, 2012, no. May, pp. 1–4. Accessed: Mar. 21, 2013. [Online]. Available: http://workshops.fhr.fraunhofer.de/cosera/pdf/1046_t.pdf
[26]Z. Zhang, B. C. Zhang, W. Hong, and Y. R. Wu, “Waveform design for Lqregularization based radar imaging and an approach to radar imaging with non-moving platform,” in Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, 2012, vol. 2012-April, no. 2, pp. 685–688. Accessed: Mar. 21, 2013. [Online]. Available: http://www.vde-verlag.de/proceedings-en/453404253.html
[27]Z. Zhang, B. C. Zhang, C. L. Jiang, Y. Xiang, W. Hong, and Y. R. Wu, “Influence factors of sparse microwave imaging radar system performance: Approaches to waveform design and platform motion analysis,” Sci. China Inf. Sci., vol. 55, no. 10, pp. 2301–2317, 2012, doi: 10.1007/s11432-012-4603-x.
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（1）科技部首屆全國顛覆性技術(shù)創(chuàng )新大賽，總決賽優(yōu)秀獎、優(yōu)勝獎、優(yōu)秀獎，2022年
（2）國家高層次青年人才，2021年
（3）中國科學(xué)院高層次青年人才，2021年
（4）江蘇省“雙創(chuàng )人才”，2022年
（5）蘇州市“姑蘇領(lǐng)軍人才”，2021年
（6）中國科學(xué)院“青年交叉團隊”成員，2022年
研究隊伍