近20期六合彩結果

EN
柳思聰
長聘副教授
航天遙感信息處理與解譯
姓名: 柳思聰
性別:

職稱:

長聘副教授

籍貫:

浙江海寧

郵箱:

[email protected]

簡介:

主要從事航天遙感信息智能處理理論方法與應用研究,研究方向包括遙感光譜解譯、多模態遙感信息融合、遙感變化監測等。主持國家自然科學基金和國家重點研發計劃項目子課題等項目。發表SCI論文90余篇。擔任第十屆國際多時相遙感影像分析會議(MultiTemp)技術委員會主席,是IEEE GRSL等國際SCI期刊副主編、編委/專刊特邀編輯。
  • 學習和工作經歷

  • 2023.12 - 至今       同濟大學 長聘副教授

  • 2020.12 - 2023.12 同濟大學 副教授

  • 2017.04 - 2020.12 同濟大學 助理教授

  • 2015.10 - 2017.03 同濟大學 助理研究員

  • 2011.10 - 2015.02 意大利特倫托大學(University of Trento)博士,信息與通訊技術

  • 2009.09 - 2011.06 中國礦業大學,碩士,攝影測量與遙感

  • 2005.09 - 2009.06 中國礦業大學,學士,地理信息系統

獲獎與榮譽

  • 2023年,獲地理信息科技進步獎一等獎(排名第5)

  • 2023年,獲中國遙感委員會“優秀審稿專家”(《遙感學報》年度唯一)

  • 2021年,獲第九屆高校GIS論壇“高校GIS新銳”

  • 2021年,獲上海市教衛工作黨委系統優秀共產黨員稱號

  • 2021年,入選上海市青年科技啟明星計劃

  • 2020年,獲同濟大學“優秀班主任”

  • 2019年,獲測繪科技進步獎一等獎(排名第1)

研究方向

  • 月球與行星遙感光譜探測

  • 多模態遙感信息融合與應用

  • 遙感場景-要素-物質智能識別與解譯

  • 多時相遙感動態監測及應用

  • 圖像智能理解與深度模式識別

主要學術兼職

  • 委員,中國測繪學會深空探測遙感測繪工作委員會

  • 委員,中國圖象圖形學學會遙感圖像專業委員會

  • 委員,中國遙感應用協會高光譜遙感技術與應用專業委員會

  • 技術委員會主席,第十屆國際多時相遙感影像分析會議(10th International Workshop on the Analysis of Multitemporal Remote Sensing Images - MultiTemp 2019

  • 程序委員會委員,國際光學工程學會“遙感圖像和信號處理”遙感國際會議(SPIE Remote Sensing Digital Forum:Image and Signal Processing for Remote Sensing2020年-至今

  • 聯合組長,IEEE地球科學和遙感學會(GRSS)圖像分析與數據融合技術委員會(IADF-TC)圖像與信號處理工作組(WG-ISP)

  • 會員,電氣電子工程師學會(IEEE)

  • 會員,IEEE地球科學與遙感協會(IEEE GRSS)

  • 會員,國際光學工程學會(SPIE)

  • 擔任10多個國際、國內學術會議分會場主席

  • 擔任50多個國際、國內學術期刊和國內外會議審稿人

主要項目

  • 國家自然科學基金專項項目,耦合形貌-礦物-元素的祝融號著陸巡視區水活動痕跡遙感探測(42241130),2023.01~2023.12,主持

  • 國家自然科學基金面上項目,融合多時相深淺特征的高光譜衛星遙感影像自動變化檢測方法研究(42071324),2021.1~2024.12,主持

  • 地表精細遙感變化檢測的多視角層次分析方法研究,國家自然科學基金青年基金(41601354), 2017.01-2019.12, 主持

  • 衛星顫振影響修正,國家重點研發計劃項目子課題(2017YFB05029033),2017.06-2020.12,主持

主要論文

  • S. Liu, H. Zeng, H. Wang, X. Tong, H. Zhao, K. Du, J. Zhang, "A Novel Adaptive Spectral Drift Correction Method for Re-calibrating the MarSCoDe - LIBS Data in China's Tianwen-1 Mars Mission," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 5430-5440, 2023.

  • H. Zhao, S. Liu*, X. Tong, Q Du, L. Bruzzone, K. Du, J. Zhang, X. Lu, “MarsMapNet: A Novel Superpixel-Guided Multi-view Feature Fusion Network for Efficient Martian Landform Mapping,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-16, 2024, Art no. 4600216.

  • Y. Lin , S. Liu*, Y. Zheng, X. Tong, H. Xie, H. Zhu, K. Du, H. Zhao, J. Zhang, “An Unsupervised Transformer-based Multivariate Alteration Detection Approach for Change Detection in VHR Remote Sensing Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 3251-3261, 2024.

  • S. Liu, K. Du, X. Tong, H. Xie, Y. Feng, Y. Jin, C. Wang, H. Zhao, J. Zhang, “In-situ mapping of iron and titanium with the visible and near-infrared image spectrometer (VNIS) along the Yutu-2 rover traverse on the farside of the moon,” Icarus, vol. 412, 2024, Art no. 116003.

  • H. Zhao, S. Liu, Q. Du, L. Bruzzone, Y. Zheng, K. Du, X. Tong, H. Xie, X. Ma, "GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5632814.

  • S. Liu, Y. Zheng, Q. Du, L. Bruzzne, A. Samat, X. Tong, Y. Jin, C. Wang, “A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 5410213.

  • S. Liu, F. Bovolo, L. Bruzzone, X. Tong, Q. Du, “Foreword to the Special Issue on Recent Advances in Multitemporal Remote Sensing Data Processing,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.15, pp: 776-778, 2022.

  • S. Liu, H. Zhao, Q. Du, L. Bruzzone, A. Samat and X. Tong, "Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, Art no. 5619314.

  • Y. Zheng, S. Liu, Q. Du, H. Zhao, X. Tong and M. Dalponte, "A Novel Multitemporal Deep Fusion Network (MDFN) for Short-Term Multitemporal HR Images Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 10691-10704, 2021.

  • S. Liu, Y. Zheng, Q. Du, A. Samat, X. Tong, M. Dalponte, “A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.14, pp:464-473, 2021.

  • S. Liu, Y. Zheng, M. Dalponte, X. Tong, “A Novel Fire Index based Burned Area Change Detection Approach Using Landsat-8 OLI Data,” European Journal of Remote Sensing, vol. 53, no. 1, pp:104-112, 2020.

  • S. Liu, Q. Hu, X. Tong, J. Xia, Q. Du, A. Samat, X. Ma, “A Multi-scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery,” Remote Sensing, 12, 862, 2020.

  • S. Liu, Q. Du, X. Tong, A. Samat, L. Bruzzone, “Unsupervised Change Detection in Multispectral Remote Sensing Images via Spectral-Spatial Band Expansion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 9, pp:3578-3587, 2019.

  • S. Liu, D. Marinelli, L. Bruzzone and F. Bovolo, "A Review of Change Detection in Multitemporal Hyperspectral Images: Current Techniques, Applications, and Challenges," IEEE Geoscience and Remote Sensing Magazine, vol. 7, no. 2, pp. 140-158, 2019.

  • S. Liu, Q. Du, X. Tong, A. Samat, H. Pan , X. Ma, “Band Selection based Dimensionality Reduction for Change Detection in Multitemporal Hyperspectral Images,” Remote Sensing, vol. 9, no.10, pp:1008, 2017.

  • S. Liu, Q. Du, X. Tong, A. Samat, L. Bruzzone, F. Bovolo, “Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 9, pp. 4124-4137, 2017.

  • S. Liu, M. Chi, Y. Zou, A. Samat, J.A. Benediktsson, A. Plaza, “Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no.3, pp:324-328, 2017.

  • S. Liu, L. Bruzzone, F. Bovolo, P. Du., “Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images,” IEEE Transactions on Geoscience and Remote Sensing, vol.54, no. 5, pp:2733-2748, 2016.

  • S. Liu, L. Bruzzone, F. Bovolo, M. Zanetti, P. Du., “Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images”, IEEE Transactions on Geoscience and Remote Sensing, vol.53, no. 8, pp:4363-4378, 2015.

  • S. Liu, L. Bruzzone, F. Bovolo, P. Du, “Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images,” IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.1, pp: 244-260, 2015.

  • 論文列表請參見:Google ScholarResearchgate