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研究員/教授

  • 姓名:陳正超
  • 性別:
  • 專(zhuān)家類(lèi)別:博導(dǎo)/研究員
  • 所屬部門(mén):
  • 職務(wù):
  • 職稱(chēng):研究員
  • 社會(huì)任職:
  • 電話(huà):
  • 傳真:
  • 電子郵件:chenzc@aircas.ac.cn
  • 個(gè)人網(wǎng)頁(yè): 
  • 百人入選時(shí)間:
  • 杰青入選時(shí)間:
  • 通訊地址:北京市朝陽(yáng)區(qū)大屯路甲20號(hào)北
  • 郵政編碼:100101

    簡(jiǎn)歷

  •        陳正超,博士,中國(guó)科學(xué)院空天信息創(chuàng)新研究院研究員,中國(guó)科學(xué)院特聘研究員,博士生導(dǎo)師。獲得國(guó)家科技進(jìn)步二等獎(jiǎng)、中國(guó)科學(xué)院杰出成就獎(jiǎng)等。長(zhǎng)期從事遙感數(shù)據(jù)處理與應(yīng)用研究,近年來(lái)主攻遙感智能解譯,組建了蒼靈AI遙感智能研發(fā)團(tuán)隊(duì),構(gòu)建了大規(guī)模遙感樣本庫(kù),研發(fā)了遙感專(zhuān)用深度學(xué)習(xí)框架,開(kāi)發(fā)了全流程遙感智能處理與分析平臺(tái),在全國(guó)等超大規(guī)模場(chǎng)景下實(shí)現(xiàn)了50+種遙感專(zhuān)題產(chǎn)品生產(chǎn)檢驗(yàn),產(chǎn)品在科研院所、國(guó)家部委和省市中心等40余家單位應(yīng)用,成果被CCTV新聞聯(lián)播等媒體報(bào)道。
    工作經(jīng)歷:
    2020-03至今:中國(guó)科學(xué)院空天信息創(chuàng)新研究院,研究員
    2013-02~2020-03:中國(guó)科學(xué)院遙感與數(shù)字地球研究所,研究員
    2007-12~2013-01:中國(guó)科學(xué)院對(duì)地觀(guān)測(cè)中心,副研究員
    2005-04~2007-11:中國(guó)科學(xué)院遙感應(yīng)用研究所,助理研究員 

    研究方向

  • 深度學(xué)習(xí)遙感信息智能提取 

    承擔(dān)科研項(xiàng)目情況

  • (1)融合成像機(jī)理與深度學(xué)習(xí)的遙感復(fù)雜目標(biāo)識(shí)別研究,主持,國(guó)家級(jí),2021.01-2024.12
    (2)數(shù)據(jù)驅(qū)動(dòng)的災(zāi)害風(fēng)險(xiǎn)要素信息遙感智能提取技術(shù)研究,主持,國(guó)家級(jí),2012.12-2025.12
    (3)遙感大數(shù)據(jù)全球典型信息產(chǎn)品快速生產(chǎn)系統(tǒng), 主持, 部委級(jí), 2018.01-2022.12
    (4)高分航空數(shù)據(jù)處理軟件系統(tǒng)研發(fā), 主持, 國(guó)家級(jí), 2019.10-2021.10
    (5)高分航空數(shù)據(jù)處理與存儲(chǔ)系統(tǒng)建設(shè), 主持, 國(guó)家級(jí), 2019.10-2021.10
    (6)高精度定標(biāo)與反演技術(shù), 主持, 國(guó)家級(jí), 2016.07-2020.12 

    獲獎(jiǎng)及榮譽(yù)

  • (1)國(guó)家科技進(jìn)步二等獎(jiǎng),2018
    (2)中國(guó)科學(xué)院杰出成就獎(jiǎng)一等獎(jiǎng),2016
    (3)地理信息科技進(jìn)步一等獎(jiǎng),2023 

    代表性成果

  • [1]Xie Jun, Tian Tingting, Hu Richa, Yang Xuan, Xu Yue, Zan Luyang. A Novel Detector for Wind Turbines in Wide-Ranging, Multiscene Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024, 17, 17725-17738.
    [2]Chen Zhengchao, Guo Linan, Wu Yanhong, Zhang Bing, Chen Pan, Yang Xuan, Guo Jiawei. A high-resolution dataset of water bodies distribution over the Tibetan Plateau. Scientific Data, 11, 453 (2024).
    [3]Zhao Yu, Chen Zhengchao, Zhao Zhujun, Li Cong, Bai Yongqing, Wu Zhaoming, Wang Degang, Chen Pan. A deeply supervised vertex network for road network graph extraction in high-resolution images, International Journal of Applied Earth Observation and Geoinformation, 133 (2024) 104082.
    [4]Zhao Yu, Chen Pan, Chen Zhengchao, Bai Yongqing, Zhao Zhujun, Yang Xuan. A Triple-Stream Network with Cross-Stage Feature Fusion for High-Resolution Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61.
    [5]Chen Pan, Zhang Bing, Hong Danfeng, Chen Zhengchao, Yang Xuan, Li Baipeng. FCCDN: Feature Constraint Network for VHR Image Change Detection. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 187:101-119.
    [6]Yang Xuan, Li Shanshan, Chen Zhengchao, Chanussot Jocelyn, Jia Xiuping, Zhang Bing, Li Baipeng, Chen Pan. An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 2021, 177: 238-262.
    [7]Zou Yunjia, Shen Ting, Chen Zhengchao, Chen Pan, Yang Xuan, and Zan Luyang. A Transformer-Based Neural Network with Improved Pyramid Pooling Module for Change Detection in Ecological Redline Monitoring, Remote Sensing, 2023, 15(3):588. 
    [8]Xiang Yunfan, Tian Xiangyu, Xu Yue, Guan Xiaokun, Chen Zhengchao. EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial Images. Remote Sensing, 2024, 16(1), 86.
    [9]Dong Sijun, Chen Zhengchao. A Multi-Level Feature Fusion Network for Remote Sensing Image Segmentation. Sensors. 2021, 21(4).
    [10]Li Qingting, Chen Zhengchao, Zhang Bing, Li Baipeng, Lu Kaixuan, Lu Linlin, Guo Huadong. Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing-Jin-Ji Region, China. Remote Sensing. 2020, 12(16).
    [11]Yang Xuan, Chen Zhengchao, Zhang Bing, Li Baipeng, Bai Yongqing, Chen Pan. A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation. Remote Sensing. 2022, 14, 1432.
    [12]Tian Xiangyu, Bai Yongqing, Li Guoqing, Yang Xuan, Huang Jianxi, Chen Zhengchao. An Adaptive Feature Fusion Network with Superpixel Optimization for Crop Classification Using Sentinel-2 Imagery. Remote Sensing. 2023, 15, 1990.
    [13]昝露洋, 李柏鵬, 盧凱旋, 陳正超, 張兵. 基于Poly-FPN 神經(jīng)網(wǎng)絡(luò)模型的化工廠(chǎng)智能檢測(cè). 遙感學(xué)報(bào), 2021.
    [14]盧凱旋, 李國(guó)清, 陳正超, 昝露洋, 李柏鵬, 高建威. 基于負(fù)樣本多通道優(yōu)化SSD網(wǎng)絡(luò)的鋼鐵廠(chǎng)提取. 中國(guó)科學(xué)院大學(xué)學(xué)報(bào)[J]. 2020, 37(3): 352-359.
    [15]盧凱旋, 昝露洋, 李慶亭, 陳正超, 張兵. 基于遙感大數(shù)據(jù)的應(yīng)急管理空間信息智能提取. 衛(wèi)星應(yīng)用[J]. 2020, 40-45.
    [16]閆凱, 沈汀, 陳正超, 閆弘軒. 基于深度學(xué)習(xí)的SSD模型尾礦庫(kù)自動(dòng)提取. 中國(guó)科學(xué)院大學(xué)學(xué)報(bào)[J]. 2020, 37(3): 360-367.